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Cure Model Regression

Usage

# S3 method for formula
cureit(
  surv_formula,
  cure_formula,
  data,
  conf.level = 0.95,
  nboot = 100,
  eps = 1e-07,
  ...
)

cureit(object, ...)

# S3 method for default
cureit(object, ...)

Arguments

surv_formula

formula with Surv() on LHS and covariates on RHS.

cure_formula

formula with covariates for cure fraction on RHS

data

data frame

conf.level

confidence level. Default is 0.95.

nboot

number of bootstrap samples used for inference.

eps

convergence criterion for the EM algorithm.

...

passed to methods

object

input object

Value

cureit object

See also

Examples

cureit(surv_formula = Surv(ttdeath, death) ~ age + grade, 
cure_formula = ~ age + grade,  data = trial)
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002616112               0.569504769               0.345883977 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.575003030             0.009813492             0.108542405 
#>   grade_iii, Cure model 
#>             0.823899189 
#> 
#> $surv_formula
#> Surv(ttdeath, death) ~ age + grade
#> <environment: 0x55c025b65418>
#> 
#> $cure_formula
#> ~age + grade
#> <environment: 0x55c025b65418>
#> 
#> $data
#> # A tibble: 200 × 8
#>    trt      age marker stage grade response death ttdeath
#>    <chr>  <dbl>  <dbl> <fct> <fct>    <int> <dbl>   <dbl>
#>  1 Drug A    23  0.16  T1    II           0     0    24  
#>  2 Drug B     9  1.11  T2    I            1     0    24  
#>  3 Drug A    31  0.277 T1    II           0     0    24  
#>  4 Drug A    NA  2.07  T3    III          1     1    17.6
#>  5 Drug A    51  2.77  T4    III          1     1    16.4
#>  6 Drug B    39  0.613 T4    I            0     1    15.6
#>  7 Drug A    37  0.354 T1    II           0     0    24  
#>  8 Drug A    32  1.74  T1    I            0     1    18.4
#>  9 Drug A    31  0.144 T1    II           0     0    24  
#> 10 Drug B    34  0.205 T3    I            0     1    10.5
#> # … with 190 more rows
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> $surv_xlevels$grade
#> [1] "I"   "II"  "III"
#> 
#> 
#> $cure_xlevels
#> $cure_xlevels$grade
#> [1] "I"   "II"  "III"
#> 
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 7
#>   term                    estimate std.error statistic conf.low conf.h…¹ p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>    <dbl>    <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.575     0.486      -1.18  -1.53      0.379   0.237 
#> 2 age, Cure model          0.00981   0.00982     0.999 -0.00944   0.0291  0.318 
#> 3 grade_ii, Cure model     0.109     0.329       0.330 -0.537     0.754   0.742 
#> 4 grade_iii, Cure model    0.824     0.385       2.14   0.0691    1.58    0.0324
#> # … with abbreviated variable name ¹​conf.high
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 7
#>   term                      estimate std.error statistic conf.…¹ conf.…² p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>   <dbl>   <dbl>
#> 1 age, Survival model       -0.00262   0.00907    -0.288 -0.0204  0.0152  0.773 
#> 2 grade_ii, Survival model   0.570     0.272       2.09   0.0359  1.10    0.0364
#> 3 grade_iii, Survival model  0.346     0.272       1.27  -0.186   0.878   0.203 
#> # … with abbreviated variable names ¹​conf.low, ²​conf.high
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.575003          0.009813          0.108542          0.823899  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 253.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.575003030      0.009813492      0.108542405      0.823899189 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002616112      0.569504769      0.345883977 
#> 
#> $b_var
#> [1] 2.366736e-01 9.650257e-05 1.083741e-01 1.483008e-01
#> 
#> $b_sd
#> [1] 0.486491144 0.009823572 0.329202274 0.385098463
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -1.1819394        0.9989739        0.3297134        2.1394507 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.23722976       0.31780732       0.74161652       0.03239918 
#> 
#> $beta_var
#> [1] 8.227479e-05 7.411046e-02 7.375836e-02
#> 
#> $beta_sd
#> [1] 0.009070545 0.272232361 0.271584913
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       -0.2884184        2.0919804        1.2735758 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.77302650       0.03644027       0.20281379 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.000000000 0.000000000 0.000000000 0.604678067 0.658063410 0.000000000
#>   [7] 0.417229340 0.000000000 0.879376354 0.000000000 0.000000000 0.744886187
#>  [13] 0.787600867 0.142672058 0.944518547 0.000000000 0.693100768 0.000000000
#>  [19] 0.000000000 0.000000000 0.000000000 0.540871173 0.006912639 0.976381134
#>  [25] 0.640373656 0.000000000 0.000000000 0.684419417 0.522291631 0.000000000
#>  [31] 0.278243702 0.000000000 0.000000000 0.000000000 0.246976530 0.821307758
#>  [37] 0.000000000 0.666890646 0.466018936 0.456394953 0.829660071 0.854634203
#>  [43] 0.000000000 0.531599829 0.000000000 0.000000000 0.000000000 0.846335953
#>  [49] 0.446649365 0.887603756 0.000000000 0.000000000 0.368370905 0.837991986
#>  [55] 0.736284601 0.368370905 0.762052697 0.904005497 0.000000000 0.130947018
#>  [61] 0.000000000 0.000000000 0.178167087 0.000000000 0.298558895 0.093531067
#>  [67] 0.960518552 0.000000000 0.000000000 0.000000000 0.000000000 0.387858887
#>  [73] 0.968455884 0.020860827 0.613665875 0.000000000 0.753465281 0.000000000
#>  [79] 0.000000000 0.000000000 0.586773524 0.036370054 0.000000000 0.427038837
#>  [85] 0.267747949 0.984266892 0.106209363 0.895813391 0.000000000 0.000000000
#>  [91] 0.727657186 0.397671772 0.000000000 0.246976530 0.631469660 0.920311545
#>  [97] 0.000000000 0.000000000 0.000000000 0.348502061 0.550166021 0.862915985
#> [103] 0.436874482 0.000000000 0.494318881 0.513013956 0.000000000 0.118522726
#> [109] 0.000000000 0.503694197 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.779118376 0.649247645 0.000000000 0.992139734 0.308649170
#> [121] 0.080274841 0.568542449 0.000000000 0.000000000 0.718999352 0.475516896
#> [127] 0.000000000 0.201867710 0.000000000 0.000000000 0.224987874 0.796088245
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.912176411 0.000000000
#> [139] 0.000000000 0.000000000 0.952539418 0.318644852 0.000000000 0.000000000
#> [145] 0.236117909 0.804529313 0.770582430 0.000000000 0.701722215 0.328677697
#> [151] 0.871155498 0.000000000 0.000000000 0.000000000 0.000000000 0.065734870
#> [157] 0.000000000 0.338572747 0.675684959 0.050684149 0.154512416 0.358472658
#> [163] 0.559374570 0.000000000 0.000000000 0.000000000 0.189977968 0.000000000
#> [169] 0.812910823 0.000000000 0.407438340 0.710355937 0.577676416 0.000000000
#> [175] 0.936485829 0.484909262 0.000000000 0.000000000 0.928419678 0.622583868
#> [181] 0.288505592 0.000000000 0.586773524 0.000000000 0.166456957 0.000000000
#> [187] 0.213576414 0.000000000 0.000000000
#> 
#> $Time
#>     1     2     3     5     6     7     8     9    10    11    12    13    14 
#> 24.00 24.00 24.00 16.43 15.64 24.00 18.43 24.00 10.53 24.00 24.00 14.34 12.89 
#>    15    16    17    18    19    20    21    22    23    24    25    26    27 
#> 22.68  8.71 24.00 15.21 24.00 24.00 24.00 24.00 16.92 23.89  6.32 15.77 24.00 
#>    28    29    30    31    32    33    34    35    36    37    38    39    40 
#> 24.00 15.45 17.43 24.00 20.90 24.00 24.00 24.00 21.19 12.52 24.00 15.59 18.00 
#>    41    42    43    44    45    46    47    48    49    51    52    53    54 
#> 18.02 12.43 12.10 24.00 17.42 24.00 24.00 24.00 12.19 18.23 10.42 24.00 24.00 
#>    55    56    57    58    60    61    62    63    64    65    66    67    68 
#> 19.34 12.21 14.46 19.34 13.15 10.12 24.00 22.77 24.00 24.00 22.13 24.00 20.62 
#>    69    70    71    72    74    75    76    77    78    79    80    81    82 
#> 23.23  7.38 24.00 24.00 24.00 24.00 19.22  7.27 23.88 16.23 24.00 14.06 24.00 
#>    83    84    85    86    87    88    90    91    92    93    94    95    96 
#> 24.00 24.00 16.44 23.81 24.00 18.37 20.94  5.33 22.92 10.33 24.00 24.00 14.54 
#>    97    98    99   100   101   102   103   104   105   106   107   108   109 
#> 19.14 24.00 21.19 16.07  9.97 24.00 24.00 24.00 19.75 16.67 11.18 18.29 24.00 
#>   110   111   112   113   116   117   118   119   120   121   122   123   125 
#> 17.56 17.45 24.00 22.86 24.00 17.46 24.00 24.00 24.00 24.00 24.00 13.00 15.65 
#>   126   127   128   129   130   131   132   133   134   135   136   137   138 
#> 24.00  3.53 20.35 23.41 16.47 24.00 24.00 14.65 17.81 24.00 21.83 24.00 24.00 
#>   139   140   141   142   143   144   145   146   147   148   149   150   151 
#> 21.49 12.68 24.00 24.00 24.00 24.00 10.07 24.00 24.00 24.00  8.37 20.33 24.00 
#>   152   153   154   155   156   157   158   159   160   161   162   163   164 
#> 24.00 21.33 12.63 13.08 24.00 15.10 20.14 10.55 24.00 24.00 24.00 24.00 23.60 
#>   165   166   167   168   169   170   171   172   173   174   175   176   177 
#> 24.00 19.98 15.55 23.72 22.41 19.54 16.57 24.00 24.00 24.00 21.91 24.00 12.53 
#>   178   179   180   181   182   183   184   185   186   187   188   190   191 
#> 24.00 18.63 14.82 16.46 24.00  9.24 17.77 24.00 24.00  9.92 16.16 20.81 24.00 
#>   192   193   194   196   197   198   200 
#> 16.44 24.00 22.40 24.00 21.60 24.00 24.00 
#> 
#> $bootstrap_fit
#> $bootstrap_fit[[1]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0004459358              0.8719428415              0.7822113181 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.70013121              0.01775052             -0.30675786 
#>   grade_iii, Cure model 
#>              0.45172799 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 45    17.42      1  54        0         1
#> 192   16.44      1  31        1         0
#> 177   12.53      1  75        0         0
#> 93    10.33      1  52        0         1
#> 140   12.68      1  59        1         0
#> 123   13.00      1  44        1         0
#> 4     17.64      1  NA        0         1
#> 199   19.81      1  NA        0         1
#> 76    19.22      1  54        0         1
#> 13    14.34      1  54        0         1
#> 32    20.90      1  37        1         0
#> 154   12.63      1  20        1         0
#> 155   13.08      1  26        0         0
#> 145   10.07      1  65        1         0
#> 107   11.18      1  54        1         0
#> 15    22.68      1  48        0         0
#> 117   17.46      1  26        0         1
#> 123.1 13.00      1  44        1         0
#> 15.1  22.68      1  48        0         0
#> 43    12.10      1  61        0         1
#> 51    18.23      1  83        0         1
#> 43.1  12.10      1  61        0         1
#> 111   17.45      1  47        0         1
#> 81    14.06      1  34        0         0
#> 130   16.47      1  53        0         1
#> 88    18.37      1  47        0         0
#> 66    22.13      1  53        0         0
#> 10    10.53      1  34        0         0
#> 159   10.55      1  50        0         1
#> 57    14.46      1  45        0         1
#> 90    20.94      1  50        0         1
#> 91     5.33      1  61        0         1
#> 166   19.98      1  48        0         0
#> 150   20.33      1  48        0         0
#> 13.1  14.34      1  54        0         1
#> 171   16.57      1  41        0         1
#> 88.1  18.37      1  47        0         0
#> 157   15.10      1  47        0         0
#> 51.1  18.23      1  83        0         1
#> 158   20.14      1  74        1         0
#> 177.1 12.53      1  75        0         0
#> 107.1 11.18      1  54        1         0
#> 183    9.24      1  67        1         0
#> 78    23.88      1  43        0         0
#> 32.1  20.90      1  37        1         0
#> 26    15.77      1  49        0         1
#> 70     7.38      1  30        1         0
#> 52    10.42      1  52        0         1
#> 77     7.27      1  67        0         1
#> 187    9.92      1  39        1         0
#> 197   21.60      1  69        1         0
#> 167   15.55      1  56        1         0
#> 86    23.81      1  58        0         1
#> 97    19.14      1  65        0         1
#> 58    19.34      1  39        0         0
#> 43.2  12.10      1  61        0         1
#> 58.1  19.34      1  39        0         0
#> 184   17.77      1  38        0         0
#> 37    12.52      1  57        1         0
#> 93.1  10.33      1  52        0         1
#> 169   22.41      1  46        0         0
#> 99    21.19      1  38        0         1
#> 51.2  18.23      1  83        0         1
#> 69    23.23      1  25        0         1
#> 106   16.67      1  49        1         0
#> 61    10.12      1  36        0         1
#> 13.2  14.34      1  54        0         1
#> 181   16.46      1  45        0         1
#> 79    16.23      1  54        1         0
#> 61.1  10.12      1  36        0         1
#> 4.1   17.64      1  NA        0         1
#> 10.1  10.53      1  34        0         0
#> 51.3  18.23      1  83        0         1
#> 97.1  19.14      1  65        0         1
#> 123.2 13.00      1  44        1         0
#> 61.2  10.12      1  36        0         1
#> 93.2  10.33      1  52        0         1
#> 183.1  9.24      1  67        1         0
#> 8     18.43      1  32        0         0
#> 130.1 16.47      1  53        0         1
#> 58.2  19.34      1  39        0         0
#> 171.1 16.57      1  41        0         1
#> 24    23.89      1  38        0         0
#> 169.1 22.41      1  46        0         0
#> 108   18.29      1  39        0         1
#> 175   21.91      1  43        0         0
#> 192.1 16.44      1  31        1         0
#> 23    16.92      1  61        0         0
#> 36    21.19      1  48        0         1
#> 89    11.44      1  NA        0         0
#> 188   16.16      1  46        0         1
#> 18    15.21      1  49        1         0
#> 189   10.51      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 61.3  10.12      1  36        0         1
#> 50    10.02      1  NA        1         0
#> 29    15.45      1  68        1         0
#> 56    12.21      1  60        0         0
#> 110   17.56      1  65        0         1
#> 43.3  12.10      1  61        0         1
#> 63    22.77      1  31        1         0
#> 139   21.49      1  63        1         0
#> 101    9.97      1  10        0         1
#> 58.3  19.34      1  39        0         0
#> 153   21.33      1  55        1         0
#> 18.1  15.21      1  49        1         0
#> 78.1  23.88      1  43        0         0
#> 89.1  11.44      1  NA        0         0
#> 25     6.32      1  34        1         0
#> 97.2  19.14      1  65        0         1
#> 70.1   7.38      1  30        1         0
#> 55    19.34      1  69        0         1
#> 119   24.00      0  17        0         0
#> 94    24.00      0  51        0         1
#> 109   24.00      0  48        0         0
#> 46    24.00      0  71        0         0
#> 17    24.00      0  38        0         1
#> 47    24.00      0  38        0         1
#> 95    24.00      0  68        0         1
#> 7     24.00      0  37        1         0
#> 22    24.00      0  52        1         0
#> 138   24.00      0  44        1         0
#> 22.1  24.00      0  52        1         0
#> 22.2  24.00      0  52        1         0
#> 147   24.00      0  76        1         0
#> 138.1 24.00      0  44        1         0
#> 95.1  24.00      0  68        0         1
#> 182   24.00      0  35        0         0
#> 74    24.00      0  43        0         1
#> 67    24.00      0  25        0         0
#> 146   24.00      0  63        1         0
#> 17.1  24.00      0  38        0         1
#> 185   24.00      0  44        1         0
#> 72    24.00      0  40        0         1
#> 94.1  24.00      0  51        0         1
#> 198   24.00      0  66        0         1
#> 87    24.00      0  27        0         0
#> 152   24.00      0  36        0         1
#> 109.1 24.00      0  48        0         0
#> 82    24.00      0  34        0         0
#> 54    24.00      0  53        1         0
#> 102   24.00      0  49        0         0
#> 118   24.00      0  44        1         0
#> 87.1  24.00      0  27        0         0
#> 151   24.00      0  42        0         0
#> 19    24.00      0  57        0         1
#> 118.1 24.00      0  44        1         0
#> 67.1  24.00      0  25        0         0
#> 73    24.00      0  NA        0         1
#> 172   24.00      0  41        0         0
#> 176   24.00      0  43        0         1
#> 3     24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 22.3  24.00      0  52        1         0
#> 22.4  24.00      0  52        1         0
#> 71    24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 53    24.00      0  32        0         1
#> 2     24.00      0   9        0         0
#> 84    24.00      0  39        0         1
#> 17.2  24.00      0  38        0         1
#> 178   24.00      0  52        1         0
#> 2.1   24.00      0   9        0         0
#> 142   24.00      0  53        0         0
#> 118.2 24.00      0  44        1         0
#> 33    24.00      0  53        0         0
#> 138.2 24.00      0  44        1         0
#> 135   24.00      0  58        1         0
#> 120   24.00      0  68        0         1
#> 2.2   24.00      0   9        0         0
#> 135.1 24.00      0  58        1         0
#> 104   24.00      0  50        1         0
#> 104.1 24.00      0  50        1         0
#> 65    24.00      0  57        1         0
#> 115   24.00      0  NA        1         0
#> 151.1 24.00      0  42        0         0
#> 102.1 24.00      0  49        0         0
#> 54.1  24.00      0  53        1         0
#> 161   24.00      0  45        0         0
#> 156   24.00      0  50        1         0
#> 120.1 24.00      0  68        0         1
#> 176.1 24.00      0  43        0         1
#> 120.2 24.00      0  68        0         1
#> 104.2 24.00      0  50        1         0
#> 147.1 24.00      0  76        1         0
#> 2.3   24.00      0   9        0         0
#> 27    24.00      0  63        1         0
#> 161.1 24.00      0  45        0         0
#> 144   24.00      0  28        0         1
#> 178.1 24.00      0  52        1         0
#> 94.2  24.00      0  51        0         1
#> 3.1   24.00      0  31        1         0
#> 65.1  24.00      0  57        1         0
#> 47.1  24.00      0  38        0         1
#> 121   24.00      0  57        1         0
#> 109.2 24.00      0  48        0         0
#> 22.5  24.00      0  52        1         0
#> 122   24.00      0  66        0         0
#> 19.1  24.00      0  57        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.700         NA        NA      NA
#> 2 age, Cure model           0.0178        NA        NA      NA
#> 3 grade_ii, Cure model     -0.307         NA        NA      NA
#> 4 grade_iii, Cure model     0.452         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000446        NA        NA      NA
#> 2 grade_ii, Survival model   0.872           NA        NA      NA
#> 3 grade_iii, Survival model  0.782           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.70013           0.01775          -0.30676           0.45173  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 254.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.70013121       0.01775052      -0.30675786       0.45172799 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0004459358     0.8719428415     0.7822113181 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.61955981 0.68278194 0.82886876 0.91036148 0.81663639 0.79814925
#>   [7] 0.47343680 0.76625105 0.36653952 0.82278373 0.79173735 0.94826598
#>  [13] 0.87619837 0.17937218 0.60264532 0.79814925 0.17937218 0.85306021
#>  [19] 0.55072158 0.85306021 0.61116932 0.78532604 0.65991126 0.52202121
#>  [25] 0.24728991 0.89334021 0.88764185 0.75965131 0.35406357 0.99496752
#>  [31] 0.41146195 0.38903242 0.76625105 0.64421484 0.52202121 0.75298537
#>  [37] 0.55072158 0.40045342 0.82886876 0.87619837 0.96420908 0.05861601
#>  [43] 0.36653952 0.71186995 0.97458329 0.90470275 0.98480949 0.95893274
#>  [49] 0.28265021 0.72596955 0.11559308 0.48383277 0.42247674 0.85306021
#>  [55] 0.42247674 0.58516820 0.84100000 0.91036148 0.21327050 0.32854657
#>  [61] 0.55072158 0.14076524 0.63608983 0.92688445 0.76625105 0.67519501
#>  [67] 0.69743162 0.92688445 0.89334021 0.55072158 0.48383277 0.79814925
#>  [73] 0.92688445 0.91036148 0.96420908 0.51233577 0.65991126 0.42247674
#>  [79] 0.64421484 0.02119823 0.21327050 0.54122712 0.26495864 0.68278194
#>  [85] 0.62782336 0.32854657 0.70469301 0.73971494 0.71896541 0.92688445
#>  [91] 0.73288479 0.84702954 0.59397899 0.85306021 0.16162162 0.29899316
#>  [97] 0.95361691 0.42247674 0.31423261 0.73971494 0.05861601 0.98990617
#> [103] 0.48383277 0.97458329 0.42247674 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    45   192   177    93   140   123    76    13    32   154   155   145   107 
#> 17.42 16.44 12.53 10.33 12.68 13.00 19.22 14.34 20.90 12.63 13.08 10.07 11.18 
#>    15   117 123.1  15.1    43    51  43.1   111    81   130    88    66    10 
#> 22.68 17.46 13.00 22.68 12.10 18.23 12.10 17.45 14.06 16.47 18.37 22.13 10.53 
#>   159    57    90    91   166   150  13.1   171  88.1   157  51.1   158 177.1 
#> 10.55 14.46 20.94  5.33 19.98 20.33 14.34 16.57 18.37 15.10 18.23 20.14 12.53 
#> 107.1   183    78  32.1    26    70    52    77   187   197   167    86    97 
#> 11.18  9.24 23.88 20.90 15.77  7.38 10.42  7.27  9.92 21.60 15.55 23.81 19.14 
#>    58  43.2  58.1   184    37  93.1   169    99  51.2    69   106    61  13.2 
#> 19.34 12.10 19.34 17.77 12.52 10.33 22.41 21.19 18.23 23.23 16.67 10.12 14.34 
#>   181    79  61.1  10.1  51.3  97.1 123.2  61.2  93.2 183.1     8 130.1  58.2 
#> 16.46 16.23 10.12 10.53 18.23 19.14 13.00 10.12 10.33  9.24 18.43 16.47 19.34 
#> 171.1    24 169.1   108   175 192.1    23    36   188    18   125  61.3    29 
#> 16.57 23.89 22.41 18.29 21.91 16.44 16.92 21.19 16.16 15.21 15.65 10.12 15.45 
#>    56   110  43.3    63   139   101  58.3   153  18.1  78.1    25  97.2  70.1 
#> 12.21 17.56 12.10 22.77 21.49  9.97 19.34 21.33 15.21 23.88  6.32 19.14  7.38 
#>    55   119    94   109    46    17    47    95     7    22   138  22.1  22.2 
#> 19.34 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147 138.1  95.1   182    74    67   146  17.1   185    72  94.1   198    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152 109.1    82    54   102   118  87.1   151    19 118.1  67.1   172   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3    98  22.3  22.4    71    48    34    53     2    84  17.2   178   2.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142 118.2    33 138.2   135   120   2.2 135.1   104 104.1    65 151.1 102.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  54.1   161   156 120.1 176.1 120.2 104.2 147.1   2.3    27 161.1   144 178.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.2   3.1  65.1  47.1   121 109.2  22.5   122  19.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[2]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0005006481              0.4034411334              0.2653423896 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.44248653              0.02698917             -0.33722960 
#>   grade_iii, Cure model 
#>              1.19100379 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 157   15.10      1  47        0         0
#> 63    22.77      1  31        1         0
#> 37    12.52      1  57        1         0
#> 171   16.57      1  41        0         1
#> 159   10.55      1  50        0         1
#> 96    14.54      1  33        0         1
#> 41    18.02      1  40        1         0
#> 96.1  14.54      1  33        0         1
#> 108   18.29      1  39        0         1
#> 177   12.53      1  75        0         0
#> 15    22.68      1  48        0         0
#> 127    3.53      1  62        0         1
#> 91     5.33      1  61        0         1
#> 51    18.23      1  83        0         1
#> 69    23.23      1  25        0         1
#> 13    14.34      1  54        0         1
#> 51.1  18.23      1  83        0         1
#> 197   21.60      1  69        1         0
#> 61    10.12      1  36        0         1
#> 105   19.75      1  60        0         0
#> 117   17.46      1  26        0         1
#> 166   19.98      1  48        0         0
#> 51.2  18.23      1  83        0         1
#> 18    15.21      1  49        1         0
#> 25     6.32      1  34        1         0
#> 61.1  10.12      1  36        0         1
#> 8     18.43      1  32        0         0
#> 24    23.89      1  38        0         0
#> 61.2  10.12      1  36        0         1
#> 197.1 21.60      1  69        1         0
#> 61.3  10.12      1  36        0         1
#> 130   16.47      1  53        0         1
#> 30    17.43      1  78        0         0
#> 89    11.44      1  NA        0         0
#> 179   18.63      1  42        0         0
#> 108.1 18.29      1  39        0         1
#> 61.4  10.12      1  36        0         1
#> 188   16.16      1  46        0         1
#> 36    21.19      1  48        0         1
#> 81    14.06      1  34        0         0
#> 58    19.34      1  39        0         0
#> 194   22.40      1  38        0         1
#> 90    20.94      1  50        0         1
#> 42    12.43      1  49        0         1
#> 177.1 12.53      1  75        0         0
#> 18.1  15.21      1  49        1         0
#> 86    23.81      1  58        0         1
#> 26    15.77      1  49        0         1
#> 150   20.33      1  48        0         0
#> 10    10.53      1  34        0         0
#> 100   16.07      1  60        0         0
#> 25.1   6.32      1  34        1         0
#> 55    19.34      1  69        0         1
#> 89.1  11.44      1  NA        0         0
#> 106   16.67      1  49        1         0
#> 18.2  15.21      1  49        1         0
#> 164   23.60      1  76        0         1
#> 127.1  3.53      1  62        0         1
#> 6     15.64      1  39        0         0
#> 199   19.81      1  NA        0         1
#> 106.1 16.67      1  49        1         0
#> 79    16.23      1  54        1         0
#> 177.2 12.53      1  75        0         0
#> 45    17.42      1  54        0         1
#> 51.3  18.23      1  83        0         1
#> 92    22.92      1  47        0         1
#> 16     8.71      1  71        0         1
#> 154   12.63      1  20        1         0
#> 59    10.16      1  NA        1         0
#> 114   13.68      1  NA        0         0
#> 79.1  16.23      1  54        1         0
#> 23    16.92      1  61        0         0
#> 50    10.02      1  NA        1         0
#> 192   16.44      1  31        1         0
#> 4     17.64      1  NA        0         1
#> 187    9.92      1  39        1         0
#> 170   19.54      1  43        0         1
#> 61.5  10.12      1  36        0         1
#> 125   15.65      1  67        1         0
#> 45.1  17.42      1  54        0         1
#> 45.2  17.42      1  54        0         1
#> 107   11.18      1  54        1         0
#> 92.1  22.92      1  47        0         1
#> 195   11.76      1  NA        1         0
#> 127.2  3.53      1  62        0         1
#> 66    22.13      1  53        0         0
#> 183    9.24      1  67        1         0
#> 155   13.08      1  26        0         0
#> 159.1 10.55      1  50        0         1
#> 52    10.42      1  52        0         1
#> 177.3 12.53      1  75        0         0
#> 57    14.46      1  45        0         1
#> 13.1  14.34      1  54        0         1
#> 150.1 20.33      1  48        0         0
#> 127.3  3.53      1  62        0         1
#> 77     7.27      1  67        0         1
#> 10.1  10.53      1  34        0         0
#> 59.1  10.16      1  NA        1         0
#> 69.1  23.23      1  25        0         1
#> 88    18.37      1  47        0         0
#> 77.1   7.27      1  67        0         1
#> 89.2  11.44      1  NA        0         0
#> 36.1  21.19      1  48        0         1
#> 59.2  10.16      1  NA        1         0
#> 61.6  10.12      1  36        0         1
#> 197.2 21.60      1  69        1         0
#> 77.2   7.27      1  67        0         1
#> 40    18.00      1  28        1         0
#> 14    12.89      1  21        0         0
#> 188.1 16.16      1  46        0         1
#> 5     16.43      1  51        0         1
#> 168   23.72      1  70        0         0
#> 144   24.00      0  28        0         1
#> 82    24.00      0  34        0         0
#> 67    24.00      0  25        0         0
#> 87    24.00      0  27        0         0
#> 82.1  24.00      0  34        0         0
#> 126   24.00      0  48        0         0
#> 131   24.00      0  66        0         0
#> 104   24.00      0  50        1         0
#> 173   24.00      0  19        0         1
#> 104.1 24.00      0  50        1         0
#> 22    24.00      0  52        1         0
#> 115   24.00      0  NA        1         0
#> 142   24.00      0  53        0         0
#> 74    24.00      0  43        0         1
#> 21    24.00      0  47        0         0
#> 83    24.00      0   6        0         0
#> 83.1  24.00      0   6        0         0
#> 193   24.00      0  45        0         1
#> 131.1 24.00      0  66        0         0
#> 74.1  24.00      0  43        0         1
#> 83.2  24.00      0   6        0         0
#> 138   24.00      0  44        1         0
#> 126.1 24.00      0  48        0         0
#> 173.1 24.00      0  19        0         1
#> 73    24.00      0  NA        0         1
#> 72    24.00      0  40        0         1
#> 146   24.00      0  63        1         0
#> 161   24.00      0  45        0         0
#> 109   24.00      0  48        0         0
#> 119   24.00      0  17        0         0
#> 131.2 24.00      0  66        0         0
#> 103   24.00      0  56        1         0
#> 28    24.00      0  67        1         0
#> 33    24.00      0  53        0         0
#> 83.3  24.00      0   6        0         0
#> 94    24.00      0  51        0         1
#> 137   24.00      0  45        1         0
#> 75    24.00      0  21        1         0
#> 80    24.00      0  41        0         0
#> 9     24.00      0  31        1         0
#> 104.2 24.00      0  50        1         0
#> 144.1 24.00      0  28        0         1
#> 186   24.00      0  45        1         0
#> 147   24.00      0  76        1         0
#> 65    24.00      0  57        1         0
#> 38    24.00      0  31        1         0
#> 48    24.00      0  31        1         0
#> 104.3 24.00      0  50        1         0
#> 160   24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 103.1 24.00      0  56        1         0
#> 182   24.00      0  35        0         0
#> 165   24.00      0  47        0         0
#> 7     24.00      0  37        1         0
#> 178   24.00      0  52        1         0
#> 138.1 24.00      0  44        1         0
#> 38.1  24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 176   24.00      0  43        0         1
#> 34.1  24.00      0  36        0         0
#> 163   24.00      0  66        0         0
#> 72.1  24.00      0  40        0         1
#> 27    24.00      0  63        1         0
#> 131.3 24.00      0  66        0         0
#> 200   24.00      0  64        0         0
#> 20    24.00      0  46        1         0
#> 19.1  24.00      0  57        0         1
#> 176.1 24.00      0  43        0         1
#> 185   24.00      0  44        1         0
#> 193.1 24.00      0  45        0         1
#> 148   24.00      0  61        1         0
#> 132   24.00      0  55        0         0
#> 31    24.00      0  36        0         1
#> 28.1  24.00      0  67        1         0
#> 176.2 24.00      0  43        0         1
#> 33.1  24.00      0  53        0         0
#> 116   24.00      0  58        0         1
#> 162   24.00      0  51        0         0
#> 196   24.00      0  19        0         0
#> 3     24.00      0  31        1         0
#> 19.2  24.00      0  57        0         1
#> 54    24.00      0  53        1         0
#> 186.1 24.00      0  45        1         0
#> 9.1   24.00      0  31        1         0
#> 148.1 24.00      0  61        1         0
#> 28.2  24.00      0  67        1         0
#> 161.1 24.00      0  45        0         0
#> 137.1 24.00      0  45        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.44          NA        NA      NA
#> 2 age, Cure model           0.0270        NA        NA      NA
#> 3 grade_ii, Cure model     -0.337         NA        NA      NA
#> 4 grade_iii, Cure model     1.19          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000501        NA        NA      NA
#> 2 grade_ii, Survival model   0.403           NA        NA      NA
#> 3 grade_iii, Survival model  0.265           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.44249           0.02699          -0.33723           1.19100  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258 
#> Residual Deviance: 232 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.44248653       0.02698917      -0.33722960       1.19100379 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0005006481     0.4034411334     0.2653423896 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.65024000 0.13448317 0.77120420 0.51382852 0.79691187 0.65908171
#>   [7] 0.41668532 0.65908171 0.35662411 0.73720375 0.14720345 0.96847247
#>  [13] 0.96042247 0.37737470 0.08218479 0.68525781 0.37737470 0.18491498
#>  [19] 0.83913009 0.28181322 0.43673435 0.27092489 0.37737470 0.62408208
#>  [25] 0.94435445 0.83913009 0.33521825 0.01113250 0.83913009 0.18491498
#>  [31] 0.83913009 0.52333755 0.44663795 0.32452464 0.35662411 0.83913009
#>  [37] 0.56976544 0.21721860 0.70251362 0.30350402 0.15995055 0.23873159
#>  [43] 0.77980473 0.73720375 0.62408208 0.03084810 0.59696476 0.24960586
#>  [49] 0.81378762 0.58784845 0.94435445 0.30350402 0.49489015 0.62408208
#>  [55] 0.06570534 0.96847247 0.61506142 0.49489015 0.55152376 0.73720375
#>  [61] 0.45654998 0.37737470 0.10917020 0.91196934 0.72856755 0.55152376
#>  [67] 0.48515536 0.53280020 0.89551254 0.29271407 0.83913009 0.60604332
#>  [73] 0.45654998 0.45654998 0.78837951 0.10917020 0.96847247 0.17242074
#>  [79] 0.90375771 0.71119698 0.79691187 0.83066929 0.73720375 0.67651529
#>  [85] 0.68525781 0.24960586 0.96847247 0.92016192 0.81378762 0.08218479
#>  [91] 0.34591732 0.92016192 0.21721860 0.83913009 0.18491498 0.92016192
#>  [97] 0.42676588 0.71988171 0.56976544 0.54218388 0.04813317 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>   157    63    37   171   159    96    41  96.1   108   177    15   127    91 
#> 15.10 22.77 12.52 16.57 10.55 14.54 18.02 14.54 18.29 12.53 22.68  3.53  5.33 
#>    51    69    13  51.1   197    61   105   117   166  51.2    18    25  61.1 
#> 18.23 23.23 14.34 18.23 21.60 10.12 19.75 17.46 19.98 18.23 15.21  6.32 10.12 
#>     8    24  61.2 197.1  61.3   130    30   179 108.1  61.4   188    36    81 
#> 18.43 23.89 10.12 21.60 10.12 16.47 17.43 18.63 18.29 10.12 16.16 21.19 14.06 
#>    58   194    90    42 177.1  18.1    86    26   150    10   100  25.1    55 
#> 19.34 22.40 20.94 12.43 12.53 15.21 23.81 15.77 20.33 10.53 16.07  6.32 19.34 
#>   106  18.2   164 127.1     6 106.1    79 177.2    45  51.3    92    16   154 
#> 16.67 15.21 23.60  3.53 15.64 16.67 16.23 12.53 17.42 18.23 22.92  8.71 12.63 
#>  79.1    23   192   187   170  61.5   125  45.1  45.2   107  92.1 127.2    66 
#> 16.23 16.92 16.44  9.92 19.54 10.12 15.65 17.42 17.42 11.18 22.92  3.53 22.13 
#>   183   155 159.1    52 177.3    57  13.1 150.1 127.3    77  10.1  69.1    88 
#>  9.24 13.08 10.55 10.42 12.53 14.46 14.34 20.33  3.53  7.27 10.53 23.23 18.37 
#>  77.1  36.1  61.6 197.2  77.2    40    14 188.1     5   168   144    82    67 
#>  7.27 21.19 10.12 21.60  7.27 18.00 12.89 16.16 16.43 23.72 24.00 24.00 24.00 
#>    87  82.1   126   131   104   173 104.1    22   142    74    21    83  83.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193 131.1  74.1  83.2   138 126.1 173.1    72   146   161   109   119 131.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103    28    33  83.3    94   137    75    80     9 104.2 144.1   186   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    65    38    48 104.3   160    19 103.1   182   165     7   178 138.1  38.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34   176  34.1   163  72.1    27 131.3   200    20  19.1 176.1   185 193.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148   132    31  28.1 176.2  33.1   116   162   196     3  19.2    54 186.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.1 148.1  28.2 161.1 137.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[3]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007398286               0.461248359               0.381295921 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.947775743             0.005047866             1.007632405 
#>   grade_iii, Cure model 
#>             1.613859904 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 37    12.52      1  57        1         0
#> 50    10.02      1  NA        1         0
#> 5     16.43      1  51        0         1
#> 128   20.35      1  35        0         1
#> 77     7.27      1  67        0         1
#> 190   20.81      1  42        1         0
#> 26    15.77      1  49        0         1
#> 114   13.68      1  NA        0         0
#> 26.1  15.77      1  49        0         1
#> 97    19.14      1  65        0         1
#> 18    15.21      1  49        1         0
#> 25     6.32      1  34        1         0
#> 153   21.33      1  55        1         0
#> 111   17.45      1  47        0         1
#> 107   11.18      1  54        1         0
#> 13    14.34      1  54        0         1
#> 183    9.24      1  67        1         0
#> 111.1 17.45      1  47        0         1
#> 78    23.88      1  43        0         0
#> 130   16.47      1  53        0         1
#> 32    20.90      1  37        1         0
#> 188   16.16      1  46        0         1
#> 155   13.08      1  26        0         0
#> 136   21.83      1  43        0         1
#> 60    13.15      1  38        1         0
#> 14    12.89      1  21        0         0
#> 61    10.12      1  36        0         1
#> 14.1  12.89      1  21        0         0
#> 128.1 20.35      1  35        0         1
#> 42    12.43      1  49        0         1
#> 55    19.34      1  69        0         1
#> 40    18.00      1  28        1         0
#> 129   23.41      1  53        1         0
#> 26.2  15.77      1  49        0         1
#> 164   23.60      1  76        0         1
#> 86    23.81      1  58        0         1
#> 61.1  10.12      1  36        0         1
#> 159   10.55      1  50        0         1
#> 175   21.91      1  43        0         0
#> 167   15.55      1  56        1         0
#> 140   12.68      1  59        1         0
#> 100   16.07      1  60        0         0
#> 52    10.42      1  52        0         1
#> 128.2 20.35      1  35        0         1
#> 60.1  13.15      1  38        1         0
#> 4     17.64      1  NA        0         1
#> 55.1  19.34      1  69        0         1
#> 96    14.54      1  33        0         1
#> 100.1 16.07      1  60        0         0
#> 40.1  18.00      1  28        1         0
#> 97.1  19.14      1  65        0         1
#> 10    10.53      1  34        0         0
#> 97.2  19.14      1  65        0         1
#> 157   15.10      1  47        0         0
#> 58    19.34      1  39        0         0
#> 26.3  15.77      1  49        0         1
#> 23    16.92      1  61        0         0
#> 113   22.86      1  34        0         0
#> 105   19.75      1  60        0         0
#> 57    14.46      1  45        0         1
#> 128.3 20.35      1  35        0         1
#> 36    21.19      1  48        0         1
#> 52.1  10.42      1  52        0         1
#> 117   17.46      1  26        0         1
#> 61.2  10.12      1  36        0         1
#> 99    21.19      1  38        0         1
#> 97.3  19.14      1  65        0         1
#> 199   19.81      1  NA        0         1
#> 92    22.92      1  47        0         1
#> 14.2  12.89      1  21        0         0
#> 129.1 23.41      1  53        1         0
#> 114.1 13.68      1  NA        0         0
#> 183.1  9.24      1  67        1         0
#> 192   16.44      1  31        1         0
#> 110   17.56      1  65        0         1
#> 197   21.60      1  69        1         0
#> 5.1   16.43      1  51        0         1
#> 108   18.29      1  39        0         1
#> 117.1 17.46      1  26        0         1
#> 92.1  22.92      1  47        0         1
#> 61.3  10.12      1  36        0         1
#> 170   19.54      1  43        0         1
#> 51    18.23      1  83        0         1
#> 56    12.21      1  60        0         0
#> 24    23.89      1  38        0         0
#> 49    12.19      1  48        1         0
#> 125   15.65      1  67        1         0
#> 101    9.97      1  10        0         1
#> 57.1  14.46      1  45        0         1
#> 91     5.33      1  61        0         1
#> 6     15.64      1  39        0         0
#> 167.1 15.55      1  56        1         0
#> 90    20.94      1  50        0         1
#> 192.1 16.44      1  31        1         0
#> 26.4  15.77      1  49        0         1
#> 181   16.46      1  45        0         1
#> 140.1 12.68      1  59        1         0
#> 78.1  23.88      1  43        0         0
#> 25.1   6.32      1  34        1         0
#> 88    18.37      1  47        0         0
#> 59    10.16      1  NA        1         0
#> 41    18.02      1  40        1         0
#> 192.2 16.44      1  31        1         0
#> 129.2 23.41      1  53        1         0
#> 139   21.49      1  63        1         0
#> 79    16.23      1  54        1         0
#> 128.4 20.35      1  35        0         1
#> 124    9.73      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 41.1  18.02      1  40        1         0
#> 43    12.10      1  61        0         1
#> 14.3  12.89      1  21        0         0
#> 31    24.00      0  36        0         1
#> 142   24.00      0  53        0         0
#> 84    24.00      0  39        0         1
#> 71    24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 165   24.00      0  47        0         0
#> 142.1 24.00      0  53        0         0
#> 126   24.00      0  48        0         0
#> 75    24.00      0  21        1         0
#> 82    24.00      0  34        0         0
#> 46    24.00      0  71        0         0
#> 165.1 24.00      0  47        0         0
#> 141   24.00      0  44        1         0
#> 185   24.00      0  44        1         0
#> 141.1 24.00      0  44        1         0
#> 120   24.00      0  68        0         1
#> 173   24.00      0  19        0         1
#> 178   24.00      0  52        1         0
#> 146   24.00      0  63        1         0
#> 46.1  24.00      0  71        0         0
#> 38    24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 1     24.00      0  23        1         0
#> 28    24.00      0  67        1         0
#> 12    24.00      0  63        0         0
#> 162   24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 3     24.00      0  31        1         0
#> 87.1  24.00      0  27        0         0
#> 178.1 24.00      0  52        1         0
#> 109   24.00      0  48        0         0
#> 144   24.00      0  28        0         1
#> 109.1 24.00      0  48        0         0
#> 73    24.00      0  NA        0         1
#> 103   24.00      0  56        1         0
#> 132   24.00      0  55        0         0
#> 112   24.00      0  61        0         0
#> 11    24.00      0  42        0         1
#> 132.1 24.00      0  55        0         0
#> 11.1  24.00      0  42        0         1
#> 80    24.00      0  41        0         0
#> 44    24.00      0  56        0         0
#> 165.2 24.00      0  47        0         0
#> 31.1  24.00      0  36        0         1
#> 131   24.00      0  66        0         0
#> 84.1  24.00      0  39        0         1
#> 115   24.00      0  NA        1         0
#> 121   24.00      0  57        1         0
#> 200   24.00      0  64        0         0
#> 48    24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 94    24.00      0  51        0         1
#> 182   24.00      0  35        0         0
#> 21    24.00      0  47        0         0
#> 103.1 24.00      0  56        1         0
#> 116   24.00      0  58        0         1
#> 47    24.00      0  38        0         1
#> 21.1  24.00      0  47        0         0
#> 122   24.00      0  66        0         0
#> 17    24.00      0  38        0         1
#> 83    24.00      0   6        0         0
#> 186   24.00      0  45        1         0
#> 46.2  24.00      0  71        0         0
#> 82.1  24.00      0  34        0         0
#> 141.2 24.00      0  44        1         0
#> 196   24.00      0  19        0         0
#> 84.2  24.00      0  39        0         1
#> 121.1 24.00      0  57        1         0
#> 102   24.00      0  49        0         0
#> 11.2  24.00      0  42        0         1
#> 67    24.00      0  25        0         0
#> 84.3  24.00      0  39        0         1
#> 142.2 24.00      0  53        0         0
#> 31.2  24.00      0  36        0         1
#> 19    24.00      0  57        0         1
#> 38.1  24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 17.1  24.00      0  38        0         1
#> 132.2 24.00      0  55        0         0
#> 132.3 24.00      0  55        0         0
#> 135   24.00      0  58        1         0
#> 174   24.00      0  49        1         0
#> 53    24.00      0  32        0         1
#> 132.4 24.00      0  55        0         0
#> 67.1  24.00      0  25        0         0
#> 19.1  24.00      0  57        0         1
#> 82.2  24.00      0  34        0         0
#> 33    24.00      0  53        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.948          NA        NA      NA
#> 2 age, Cure model          0.00505        NA        NA      NA
#> 3 grade_ii, Cure model     1.01           NA        NA      NA
#> 4 grade_iii, Cure model    1.61           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00740        NA        NA      NA
#> 2 grade_ii, Survival model   0.461          NA        NA      NA
#> 3 grade_iii, Survival model  0.381          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.947776          0.005048          1.007632          1.613860  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 242.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.947775743      0.005047866      1.007632405      1.613859904 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007398286      0.461248359      0.381295921 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.800820551 0.518724917 0.218238897 0.962203011 0.208357963 0.575176372
#>   [7] 0.575176372 0.309516210 0.659138198 0.971706352 0.158562092 0.443256722
#>  [13] 0.848566876 0.706597766 0.943310261 0.443256722 0.011981091 0.471720667
#>  [19] 0.198400428 0.546854479 0.734906631 0.127957424 0.716108780 0.744387798
#>  [25] 0.896311301 0.744387798 0.218238897 0.810351061 0.281353930 0.395704618
#>  [31] 0.052174776 0.575176372 0.040627977 0.029616397 0.896311301 0.858123291
#>  [37] 0.117728822 0.640240392 0.781863911 0.556272409 0.877257147 0.218238897
#>  [43] 0.716108780 0.281353930 0.678184799 0.556272409 0.395704618 0.309516210
#>  [49] 0.867678489 0.309516210 0.668641579 0.281353930 0.575176372 0.462119238
#>  [55] 0.107737159 0.262220505 0.687708321 0.218238897 0.168741865 0.877257147
#>  [61] 0.424366884 0.896311301 0.168741865 0.309516210 0.089048118 0.744387798
#>  [67] 0.052174776 0.943310261 0.490918262 0.414724248 0.138133442 0.518724917
#>  [73] 0.356746784 0.424366884 0.089048118 0.896311301 0.271798177 0.366554499
#>  [79] 0.819879448 0.003185781 0.829447696 0.621209809 0.933822580 0.687708321
#>  [85] 0.990534599 0.630707109 0.640240392 0.188338872 0.490918262 0.575176372
#>  [91] 0.481324205 0.781863911 0.011981091 0.971706352 0.346912808 0.376417026
#>  [97] 0.490918262 0.052174776 0.148345929 0.537429765 0.218238897 0.079086703
#> [103] 0.376417026 0.839003604 0.744387798 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    37     5   128    77   190    26  26.1    97    18    25   153   111   107 
#> 12.52 16.43 20.35  7.27 20.81 15.77 15.77 19.14 15.21  6.32 21.33 17.45 11.18 
#>    13   183 111.1    78   130    32   188   155   136    60    14    61  14.1 
#> 14.34  9.24 17.45 23.88 16.47 20.90 16.16 13.08 21.83 13.15 12.89 10.12 12.89 
#> 128.1    42    55    40   129  26.2   164    86  61.1   159   175   167   140 
#> 20.35 12.43 19.34 18.00 23.41 15.77 23.60 23.81 10.12 10.55 21.91 15.55 12.68 
#>   100    52 128.2  60.1  55.1    96 100.1  40.1  97.1    10  97.2   157    58 
#> 16.07 10.42 20.35 13.15 19.34 14.54 16.07 18.00 19.14 10.53 19.14 15.10 19.34 
#>  26.3    23   113   105    57 128.3    36  52.1   117  61.2    99  97.3    92 
#> 15.77 16.92 22.86 19.75 14.46 20.35 21.19 10.42 17.46 10.12 21.19 19.14 22.92 
#>  14.2 129.1 183.1   192   110   197   5.1   108 117.1  92.1  61.3   170    51 
#> 12.89 23.41  9.24 16.44 17.56 21.60 16.43 18.29 17.46 22.92 10.12 19.54 18.23 
#>    56    24    49   125   101  57.1    91     6 167.1    90 192.1  26.4   181 
#> 12.21 23.89 12.19 15.65  9.97 14.46  5.33 15.64 15.55 20.94 16.44 15.77 16.46 
#> 140.1  78.1  25.1    88    41 192.2 129.2   139    79 128.4    69  41.1    43 
#> 12.68 23.88  6.32 18.37 18.02 16.44 23.41 21.49 16.23 20.35 23.23 18.02 12.10 
#>  14.3    31   142    84    71    22   165 142.1   126    75    82    46 165.1 
#> 12.89 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141   185 141.1   120   173   178   146  46.1    38    87     1    28    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162   152     3  87.1 178.1   109   144 109.1   103   132   112    11 132.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  11.1    80    44 165.2  31.1   131  84.1   121   200    48    34    94   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21 103.1   116    47  21.1   122    17    83   186  46.2  82.1 141.2   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  84.2 121.1   102  11.2    67  84.3 142.2  31.2    19  38.1    65  17.1 132.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.3   135   174    53 132.4  67.1  19.1  82.2    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[4]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003521632               0.865971941               0.333507394 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.601379339             0.009642563             0.073918180 
#>   grade_iii, Cure model 
#>             0.899483905 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 125   15.65      1  67        1         0
#> 16     8.71      1  71        0         1
#> 169   22.41      1  46        0         0
#> 18    15.21      1  49        1         0
#> 145   10.07      1  65        1         0
#> 184   17.77      1  38        0         0
#> 26    15.77      1  49        0         1
#> 55    19.34      1  69        0         1
#> 6     15.64      1  39        0         0
#> 40    18.00      1  28        1         0
#> 153   21.33      1  55        1         0
#> 91     5.33      1  61        0         1
#> 78    23.88      1  43        0         0
#> 195   11.76      1  NA        1         0
#> 155   13.08      1  26        0         0
#> 86    23.81      1  58        0         1
#> 197   21.60      1  69        1         0
#> 29    15.45      1  68        1         0
#> 168   23.72      1  70        0         0
#> 110   17.56      1  65        0         1
#> 117   17.46      1  26        0         1
#> 188   16.16      1  46        0         1
#> 125.1 15.65      1  67        1         0
#> 171   16.57      1  41        0         1
#> 93    10.33      1  52        0         1
#> 180   14.82      1  37        0         0
#> 88    18.37      1  47        0         0
#> 106   16.67      1  49        1         0
#> 57    14.46      1  45        0         1
#> 171.1 16.57      1  41        0         1
#> 177   12.53      1  75        0         0
#> 111   17.45      1  47        0         1
#> 199   19.81      1  NA        0         1
#> 26.1  15.77      1  49        0         1
#> 113   22.86      1  34        0         0
#> 149    8.37      1  33        1         0
#> 175   21.91      1  43        0         0
#> 149.1  8.37      1  33        1         0
#> 179   18.63      1  42        0         0
#> 70     7.38      1  30        1         0
#> 188.1 16.16      1  46        0         1
#> 59    10.16      1  NA        1         0
#> 113.1 22.86      1  34        0         0
#> 154   12.63      1  20        1         0
#> 100   16.07      1  60        0         0
#> 50    10.02      1  NA        1         0
#> 42    12.43      1  49        0         1
#> 15    22.68      1  48        0         0
#> 194   22.40      1  38        0         1
#> 164   23.60      1  76        0         1
#> 92    22.92      1  47        0         1
#> 145.1 10.07      1  65        1         0
#> 195.1 11.76      1  NA        1         0
#> 99    21.19      1  38        0         1
#> 125.2 15.65      1  67        1         0
#> 23    16.92      1  61        0         0
#> 59.1  10.16      1  NA        1         0
#> 63    22.77      1  31        1         0
#> 58    19.34      1  39        0         0
#> 181   16.46      1  45        0         1
#> 113.2 22.86      1  34        0         0
#> 128   20.35      1  35        0         1
#> 164.1 23.60      1  76        0         1
#> 166   19.98      1  48        0         0
#> 106.1 16.67      1  49        1         0
#> 110.1 17.56      1  65        0         1
#> 16.1   8.71      1  71        0         1
#> 170   19.54      1  43        0         1
#> 175.1 21.91      1  43        0         0
#> 117.1 17.46      1  26        0         1
#> 134   17.81      1  47        1         0
#> 50.1  10.02      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 110.2 17.56      1  65        0         1
#> 100.1 16.07      1  60        0         0
#> 183    9.24      1  67        1         0
#> 70.1   7.38      1  30        1         0
#> 92.1  22.92      1  47        0         1
#> 134.1 17.81      1  47        1         0
#> 79    16.23      1  54        1         0
#> 58.1  19.34      1  39        0         0
#> 139   21.49      1  63        1         0
#> 57.1  14.46      1  45        0         1
#> 136   21.83      1  43        0         1
#> 117.2 17.46      1  26        0         1
#> 32    20.90      1  37        1         0
#> 175.2 21.91      1  43        0         0
#> 29.1  15.45      1  68        1         0
#> 43    12.10      1  61        0         1
#> 55.1  19.34      1  69        0         1
#> 127    3.53      1  62        0         1
#> 68    20.62      1  44        0         0
#> 50.2  10.02      1  NA        1         0
#> 93.1  10.33      1  52        0         1
#> 158   20.14      1  74        1         0
#> 194.1 22.40      1  38        0         1
#> 93.2  10.33      1  52        0         1
#> 16.2   8.71      1  71        0         1
#> 13    14.34      1  54        0         1
#> 154.1 12.63      1  20        1         0
#> 93.3  10.33      1  52        0         1
#> 15.1  22.68      1  48        0         0
#> 36    21.19      1  48        0         1
#> 32.1  20.90      1  37        1         0
#> 154.2 12.63      1  20        1         0
#> 23.1  16.92      1  61        0         0
#> 113.3 22.86      1  34        0         0
#> 56    12.21      1  60        0         0
#> 97    19.14      1  65        0         1
#> 26.2  15.77      1  49        0         1
#> 86.1  23.81      1  58        0         1
#> 86.2  23.81      1  58        0         1
#> 1     24.00      0  23        1         0
#> 118   24.00      0  44        1         0
#> 12    24.00      0  63        0         0
#> 35    24.00      0  51        0         0
#> 95    24.00      0  68        0         1
#> 82    24.00      0  34        0         0
#> 7     24.00      0  37        1         0
#> 17    24.00      0  38        0         1
#> 115   24.00      0  NA        1         0
#> 193   24.00      0  45        0         1
#> 176   24.00      0  43        0         1
#> 7.1   24.00      0  37        1         0
#> 144   24.00      0  28        0         1
#> 102   24.00      0  49        0         0
#> 71    24.00      0  51        0         0
#> 165   24.00      0  47        0         0
#> 62    24.00      0  71        0         0
#> 186   24.00      0  45        1         0
#> 33    24.00      0  53        0         0
#> 198   24.00      0  66        0         1
#> 142   24.00      0  53        0         0
#> 176.1 24.00      0  43        0         1
#> 182   24.00      0  35        0         0
#> 47    24.00      0  38        0         1
#> 20    24.00      0  46        1         0
#> 161   24.00      0  45        0         0
#> 27    24.00      0  63        1         0
#> 62.1  24.00      0  71        0         0
#> 98    24.00      0  34        1         0
#> 102.1 24.00      0  49        0         0
#> 48    24.00      0  31        1         0
#> 7.2   24.00      0  37        1         0
#> 2     24.00      0   9        0         0
#> 156   24.00      0  50        1         0
#> 120   24.00      0  68        0         1
#> 27.1  24.00      0  63        1         0
#> 19    24.00      0  57        0         1
#> 103   24.00      0  56        1         0
#> 193.1 24.00      0  45        0         1
#> 82.1  24.00      0  34        0         0
#> 176.2 24.00      0  43        0         1
#> 137   24.00      0  45        1         0
#> 65    24.00      0  57        1         0
#> 98.1  24.00      0  34        1         0
#> 151   24.00      0  42        0         0
#> 182.1 24.00      0  35        0         0
#> 131   24.00      0  66        0         0
#> 174   24.00      0  49        1         0
#> 82.2  24.00      0  34        0         0
#> 118.1 24.00      0  44        1         0
#> 104   24.00      0  50        1         0
#> 35.1  24.00      0  51        0         0
#> 54    24.00      0  53        1         0
#> 20.1  24.00      0  46        1         0
#> 112   24.00      0  61        0         0
#> 82.3  24.00      0  34        0         0
#> 12.1  24.00      0  63        0         0
#> 82.4  24.00      0  34        0         0
#> 104.1 24.00      0  50        1         0
#> 67    24.00      0  25        0         0
#> 98.2  24.00      0  34        1         0
#> 151.1 24.00      0  42        0         0
#> 156.1 24.00      0  50        1         0
#> 64    24.00      0  43        0         0
#> 120.1 24.00      0  68        0         1
#> 143   24.00      0  51        0         0
#> 109   24.00      0  48        0         0
#> 200   24.00      0  64        0         0
#> 198.1 24.00      0  66        0         1
#> 84    24.00      0  39        0         1
#> 146   24.00      0  63        1         0
#> 53    24.00      0  32        0         1
#> 38    24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 193.2 24.00      0  45        0         1
#> 12.2  24.00      0  63        0         0
#> 31    24.00      0  36        0         1
#> 116   24.00      0  58        0         1
#> 147   24.00      0  76        1         0
#> 156.2 24.00      0  50        1         0
#> 47.1  24.00      0  38        0         1
#> 20.2  24.00      0  46        1         0
#> 83    24.00      0   6        0         0
#> 176.3 24.00      0  43        0         1
#> 103.1 24.00      0  56        1         0
#> 33.1  24.00      0  53        0         0
#> 87    24.00      0  27        0         0
#> 103.2 24.00      0  56        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.601          NA        NA      NA
#> 2 age, Cure model          0.00964        NA        NA      NA
#> 3 grade_ii, Cure model     0.0739         NA        NA      NA
#> 4 grade_iii, Cure model    0.899          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00352        NA        NA      NA
#> 2 grade_ii, Survival model   0.866          NA        NA      NA
#> 3 grade_iii, Survival model  0.334          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.601379          0.009643          0.073918          0.899484  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 252.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.601379339      0.009642563      0.073918180      0.899483905 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003521632      0.865971941      0.333507394 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.72752774 0.93342952 0.21245736 0.77695766 0.91060066 0.52451529
#>   [7] 0.70200567 0.41935238 0.75228765 0.49651481 0.31794201 0.98538820
#>  [13] 0.01016554 0.81737711 0.03254099 0.29506178 0.76064510 0.06566170
#>  [19] 0.53380363 0.56103293 0.66762887 0.72752774 0.63268244 0.87993253
#>  [25] 0.78507153 0.48666574 0.61508908 0.79319566 0.63268244 0.84866418
#>  [31] 0.58790555 0.70200567 0.13028653 0.95597911 0.24812067 0.95597911
#>  [37] 0.46704972 0.97081048 0.66762887 0.13028653 0.82546325 0.68477618
#>  [43] 0.85648608 0.18877950 0.22475157 0.08002526 0.10568513 0.91060066
#>  [49] 0.32882043 0.72752774 0.59697746 0.17678777 0.41935238 0.65017458
#>  [55] 0.13028653 0.37985358 0.08002526 0.39969386 0.61508908 0.53380363
#>  [61] 0.93342952 0.40954667 0.24812067 0.56103293 0.50614348 0.47684698
#>  [67] 0.53380363 0.68477618 0.92583554 0.97081048 0.10568513 0.50614348
#>  [73] 0.65895753 0.41935238 0.30669474 0.79319566 0.28301847 0.56103293
#>  [79] 0.34994320 0.24812067 0.76064510 0.87211845 0.41935238 0.99269738
#>  [85] 0.36976620 0.87993253 0.38987869 0.22475157 0.87993253 0.93342952
#>  [91] 0.80929796 0.82546325 0.87993253 0.18877950 0.32882043 0.34994320
#>  [97] 0.82546325 0.59697746 0.13028653 0.86429554 0.45728065 0.70200567
#> [103] 0.03254099 0.03254099 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   125    16   169    18   145   184    26    55     6    40   153    91    78 
#> 15.65  8.71 22.41 15.21 10.07 17.77 15.77 19.34 15.64 18.00 21.33  5.33 23.88 
#>   155    86   197    29   168   110   117   188 125.1   171    93   180    88 
#> 13.08 23.81 21.60 15.45 23.72 17.56 17.46 16.16 15.65 16.57 10.33 14.82 18.37 
#>   106    57 171.1   177   111  26.1   113   149   175 149.1   179    70 188.1 
#> 16.67 14.46 16.57 12.53 17.45 15.77 22.86  8.37 21.91  8.37 18.63  7.38 16.16 
#> 113.1   154   100    42    15   194   164    92 145.1    99 125.2    23    63 
#> 22.86 12.63 16.07 12.43 22.68 22.40 23.60 22.92 10.07 21.19 15.65 16.92 22.77 
#>    58   181 113.2   128 164.1   166 106.1 110.1  16.1   170 175.1 117.1   134 
#> 19.34 16.46 22.86 20.35 23.60 19.98 16.67 17.56  8.71 19.54 21.91 17.46 17.81 
#>     8 110.2 100.1   183  70.1  92.1 134.1    79  58.1   139  57.1   136 117.2 
#> 18.43 17.56 16.07  9.24  7.38 22.92 17.81 16.23 19.34 21.49 14.46 21.83 17.46 
#>    32 175.2  29.1    43  55.1   127    68  93.1   158 194.1  93.2  16.2    13 
#> 20.90 21.91 15.45 12.10 19.34  3.53 20.62 10.33 20.14 22.40 10.33  8.71 14.34 
#> 154.1  93.3  15.1    36  32.1 154.2  23.1 113.3    56    97  26.2  86.1  86.2 
#> 12.63 10.33 22.68 21.19 20.90 12.63 16.92 22.86 12.21 19.14 15.77 23.81 23.81 
#>     1   118    12    35    95    82     7    17   193   176   7.1   144   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71   165    62   186    33   198   142 176.1   182    47    20   161    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  62.1    98 102.1    48   7.2     2   156   120  27.1    19   103 193.1  82.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 176.2   137    65  98.1   151 182.1   131   174  82.2 118.1   104  35.1    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.1   112  82.3  12.1  82.4 104.1    67  98.2 151.1 156.1    64 120.1   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109   200 198.1    84   146    53    38 193.2  12.2    31   116   147 156.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  47.1  20.2    83 176.3 103.1  33.1    87 103.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[5]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.000104876               1.024979338               0.603690602 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.292568756             0.003996585            -0.066227377 
#>   grade_iii, Cure model 
#>             1.201760600 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 8     18.43      1  32        0         0
#> 29    15.45      1  68        1         0
#> 105   19.75      1  60        0         0
#> 78    23.88      1  43        0         0
#> 108   18.29      1  39        0         1
#> 96    14.54      1  33        0         1
#> 18    15.21      1  49        1         0
#> 37    12.52      1  57        1         0
#> 194   22.40      1  38        0         1
#> 125   15.65      1  67        1         0
#> 168   23.72      1  70        0         0
#> 57    14.46      1  45        0         1
#> 101    9.97      1  10        0         1
#> 79    16.23      1  54        1         0
#> 175   21.91      1  43        0         0
#> 8.1   18.43      1  32        0         0
#> 51    18.23      1  83        0         1
#> 107   11.18      1  54        1         0
#> 130   16.47      1  53        0         1
#> 77     7.27      1  67        0         1
#> 157   15.10      1  47        0         0
#> 123   13.00      1  44        1         0
#> 40    18.00      1  28        1         0
#> 90    20.94      1  50        0         1
#> 96.1  14.54      1  33        0         1
#> 61    10.12      1  36        0         1
#> 100   16.07      1  60        0         0
#> 181   16.46      1  45        0         1
#> 88    18.37      1  47        0         0
#> 194.1 22.40      1  38        0         1
#> 166   19.98      1  48        0         0
#> 167   15.55      1  56        1         0
#> 26    15.77      1  49        0         1
#> 130.1 16.47      1  53        0         1
#> 24    23.89      1  38        0         0
#> 184   17.77      1  38        0         0
#> 25     6.32      1  34        1         0
#> 89    11.44      1  NA        0         0
#> 56    12.21      1  60        0         0
#> 25.1   6.32      1  34        1         0
#> 13    14.34      1  54        0         1
#> 136   21.83      1  43        0         1
#> 66    22.13      1  53        0         0
#> 164   23.60      1  76        0         1
#> 187    9.92      1  39        1         0
#> 110   17.56      1  65        0         1
#> 175.1 21.91      1  43        0         0
#> 136.1 21.83      1  43        0         1
#> 51.1  18.23      1  83        0         1
#> 129   23.41      1  53        1         0
#> 181.1 16.46      1  45        0         1
#> 69    23.23      1  25        0         1
#> 150   20.33      1  48        0         0
#> 154   12.63      1  20        1         0
#> 61.1  10.12      1  36        0         1
#> 179   18.63      1  42        0         0
#> 51.2  18.23      1  83        0         1
#> 114   13.68      1  NA        0         0
#> 183    9.24      1  67        1         0
#> 79.1  16.23      1  54        1         0
#> 39    15.59      1  37        0         1
#> 5     16.43      1  51        0         1
#> 50    10.02      1  NA        1         0
#> 57.1  14.46      1  45        0         1
#> 184.1 17.77      1  38        0         0
#> 175.2 21.91      1  43        0         0
#> 127    3.53      1  62        0         1
#> 60    13.15      1  38        1         0
#> 169   22.41      1  46        0         0
#> 86    23.81      1  58        0         1
#> 78.1  23.88      1  43        0         0
#> 107.1 11.18      1  54        1         0
#> 106   16.67      1  49        1         0
#> 43    12.10      1  61        0         1
#> 101.1  9.97      1  10        0         1
#> 129.1 23.41      1  53        1         0
#> 125.1 15.65      1  67        1         0
#> 100.1 16.07      1  60        0         0
#> 153   21.33      1  55        1         0
#> 91     5.33      1  61        0         1
#> 168.1 23.72      1  70        0         0
#> 145   10.07      1  65        1         0
#> 40.1  18.00      1  28        1         0
#> 113   22.86      1  34        0         0
#> 157.1 15.10      1  47        0         0
#> 85    16.44      1  36        0         0
#> 124    9.73      1  NA        1         0
#> 45    17.42      1  54        0         1
#> 76    19.22      1  54        0         1
#> 14    12.89      1  21        0         0
#> 169.1 22.41      1  46        0         0
#> 69.1  23.23      1  25        0         1
#> 14.1  12.89      1  21        0         0
#> 99    21.19      1  38        0         1
#> 78.2  23.88      1  43        0         0
#> 145.1 10.07      1  65        1         0
#> 105.1 19.75      1  60        0         0
#> 107.2 11.18      1  54        1         0
#> 50.1  10.02      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 58    19.34      1  39        0         0
#> 99.1  21.19      1  38        0         1
#> 157.2 15.10      1  47        0         0
#> 177.1 12.53      1  75        0         0
#> 190   20.81      1  42        1         0
#> 192   16.44      1  31        1         0
#> 43.1  12.10      1  61        0         1
#> 130.2 16.47      1  53        0         1
#> 181.2 16.46      1  45        0         1
#> 61.2  10.12      1  36        0         1
#> 59    10.16      1  NA        1         0
#> 175.3 21.91      1  43        0         0
#> 103   24.00      0  56        1         0
#> 186   24.00      0  45        1         0
#> 74    24.00      0  43        0         1
#> 176   24.00      0  43        0         1
#> 156   24.00      0  50        1         0
#> 118   24.00      0  44        1         0
#> 182   24.00      0  35        0         0
#> 48    24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 82    24.00      0  34        0         0
#> 46    24.00      0  71        0         0
#> 178   24.00      0  52        1         0
#> 162   24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 119   24.00      0  17        0         0
#> 151   24.00      0  42        0         0
#> 31    24.00      0  36        0         1
#> 152   24.00      0  36        0         1
#> 65.1  24.00      0  57        1         0
#> 112   24.00      0  61        0         0
#> 7     24.00      0  37        1         0
#> 74.1  24.00      0  43        0         1
#> 3     24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 27    24.00      0  63        1         0
#> 2.1   24.00      0   9        0         0
#> 172   24.00      0  41        0         0
#> 72    24.00      0  40        0         1
#> 34    24.00      0  36        0         0
#> 176.1 24.00      0  43        0         1
#> 138   24.00      0  44        1         0
#> 19    24.00      0  57        0         1
#> 48.1  24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 141   24.00      0  44        1         0
#> 112.1 24.00      0  61        0         0
#> 82.1  24.00      0  34        0         0
#> 7.1   24.00      0  37        1         0
#> 1     24.00      0  23        1         0
#> 71    24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 165   24.00      0  47        0         0
#> 72.1  24.00      0  40        0         1
#> 33    24.00      0  53        0         0
#> 135   24.00      0  58        1         0
#> 138.1 24.00      0  44        1         0
#> 126   24.00      0  48        0         0
#> 162.1 24.00      0  51        0         0
#> 104   24.00      0  50        1         0
#> 2.2   24.00      0   9        0         0
#> 112.2 24.00      0  61        0         0
#> 147   24.00      0  76        1         0
#> 21.1  24.00      0  47        0         0
#> 131   24.00      0  66        0         0
#> 178.1 24.00      0  52        1         0
#> 126.1 24.00      0  48        0         0
#> 135.1 24.00      0  58        1         0
#> 71.1  24.00      0  51        0         0
#> 67    24.00      0  25        0         0
#> 73    24.00      0  NA        0         1
#> 33.1  24.00      0  53        0         0
#> 102   24.00      0  49        0         0
#> 137   24.00      0  45        1         0
#> 54    24.00      0  53        1         0
#> 156.1 24.00      0  50        1         0
#> 62.1  24.00      0  71        0         0
#> 162.2 24.00      0  51        0         0
#> 20    24.00      0  46        1         0
#> 12    24.00      0  63        0         0
#> 176.2 24.00      0  43        0         1
#> 146   24.00      0  63        1         0
#> 87    24.00      0  27        0         0
#> 121   24.00      0  57        1         0
#> 178.2 24.00      0  52        1         0
#> 67.1  24.00      0  25        0         0
#> 28    24.00      0  67        1         0
#> 142   24.00      0  53        0         0
#> 7.2   24.00      0  37        1         0
#> 62.2  24.00      0  71        0         0
#> 161   24.00      0  45        0         0
#> 71.2  24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 120   24.00      0  68        0         1
#> 116.1 24.00      0  58        0         1
#> 163.1 24.00      0  66        0         0
#> 193   24.00      0  45        0         1
#> 98    24.00      0  34        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.293          NA        NA      NA
#> 2 age, Cure model          0.00400        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0662         NA        NA      NA
#> 4 grade_iii, Cure model    1.20           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000105        NA        NA      NA
#> 2 grade_ii, Survival model   1.02            NA        NA      NA
#> 3 grade_iii, Survival model  0.604           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.292569          0.003997         -0.066227          1.201761  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.7 
#> Residual Deviance: 252.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.292568756      0.003996585     -0.066227377      1.201760600 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.000104876      1.024979338      0.603690602 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.51535087 0.77344544 0.46677297 0.05492153 0.54415787 0.80642064
#>   [7] 0.78015377 0.88195982 0.29105941 0.74582726 0.13860134 0.81940635
#>  [13] 0.95155041 0.70967488 0.32703194 0.51535087 0.55368011 0.90607666
#>  [19] 0.64023985 0.97350149 0.78676138 0.84492791 0.58064707 0.42709611
#>  [25] 0.80642064 0.92336973 0.72414370 0.66395061 0.53449676 0.29105941
#>  [31] 0.45695423 0.76663268 0.73861434 0.64023985 0.02012398 0.59781427
#>  [37] 0.97890392 0.88803225 0.97890392 0.83222543 0.37302541 0.31488316
#>  [43] 0.17919673 0.96259317 0.61498347 0.32703194 0.37302541 0.55368011
#>  [49] 0.19886992 0.66395061 0.22694862 0.44713656 0.86356094 0.92336973
#>  [55] 0.50568857 0.55368011 0.96807448 0.70967488 0.75971101 0.70212933
#>  [61] 0.81940635 0.59781427 0.32703194 0.99474750 0.83861938 0.26552053
#>  [67] 0.11665217 0.05492153 0.90607666 0.63198318 0.89410495 0.95155041
#>  [73] 0.19886992 0.74582726 0.72414370 0.39559963 0.98947224 0.13860134
#>  [79] 0.94040065 0.58064707 0.25243552 0.78676138 0.68698675 0.62353074
#>  [85] 0.49602710 0.85115397 0.26552053 0.22694862 0.85115397 0.40649401
#>  [91] 0.05492153 0.94040065 0.46677297 0.90607666 0.86970793 0.48620911
#>  [97] 0.40649401 0.78676138 0.86970793 0.43731997 0.68698675 0.89410495
#> [103] 0.64023985 0.66395061 0.92336973 0.32703194 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>     8    29   105    78   108    96    18    37   194   125   168    57   101 
#> 18.43 15.45 19.75 23.88 18.29 14.54 15.21 12.52 22.40 15.65 23.72 14.46  9.97 
#>    79   175   8.1    51   107   130    77   157   123    40    90  96.1    61 
#> 16.23 21.91 18.43 18.23 11.18 16.47  7.27 15.10 13.00 18.00 20.94 14.54 10.12 
#>   100   181    88 194.1   166   167    26 130.1    24   184    25    56  25.1 
#> 16.07 16.46 18.37 22.40 19.98 15.55 15.77 16.47 23.89 17.77  6.32 12.21  6.32 
#>    13   136    66   164   187   110 175.1 136.1  51.1   129 181.1    69   150 
#> 14.34 21.83 22.13 23.60  9.92 17.56 21.91 21.83 18.23 23.41 16.46 23.23 20.33 
#>   154  61.1   179  51.2   183  79.1    39     5  57.1 184.1 175.2   127    60 
#> 12.63 10.12 18.63 18.23  9.24 16.23 15.59 16.43 14.46 17.77 21.91  3.53 13.15 
#>   169    86  78.1 107.1   106    43 101.1 129.1 125.1 100.1   153    91 168.1 
#> 22.41 23.81 23.88 11.18 16.67 12.10  9.97 23.41 15.65 16.07 21.33  5.33 23.72 
#>   145  40.1   113 157.1    85    45    76    14 169.1  69.1  14.1    99  78.2 
#> 10.07 18.00 22.86 15.10 16.44 17.42 19.22 12.89 22.41 23.23 12.89 21.19 23.88 
#> 145.1 105.1 107.2   177    58  99.1 157.2 177.1   190   192  43.1 130.2 181.2 
#> 10.07 19.75 11.18 12.53 19.34 21.19 15.10 12.53 20.81 16.44 12.10 16.47 16.46 
#>  61.2 175.3   103   186    74   176   156   118   182    48    65    82    46 
#> 10.12 21.91 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178   162     2   119   151    31   152  65.1   112     7  74.1     3    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27   2.1   172    72    34 176.1   138    19  48.1   185   163   141 112.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.1   7.1     1    71    21   165  72.1    33   135 138.1   126 162.1   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   2.2 112.2   147  21.1   131 178.1 126.1 135.1  71.1    67  33.1   102   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54 156.1  62.1 162.2    20    12 176.2   146    87   121 178.2  67.1    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142   7.2  62.2   161  71.2   116   120 116.1 163.1   193    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[6]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.006060728               0.200420224              -0.563627474 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.359479830             0.009960809             0.011246246 
#>   grade_iii, Cure model 
#>             0.206756546 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 194   22.40      1  38        0         1
#> 69    23.23      1  25        0         1
#> 166   19.98      1  48        0         0
#> 4     17.64      1  NA        0         1
#> 177   12.53      1  75        0         0
#> 128   20.35      1  35        0         1
#> 100   16.07      1  60        0         0
#> 175   21.91      1  43        0         0
#> 170   19.54      1  43        0         1
#> 39    15.59      1  37        0         1
#> 40    18.00      1  28        1         0
#> 159   10.55      1  50        0         1
#> 149    8.37      1  33        1         0
#> 124    9.73      1  NA        1         0
#> 164   23.60      1  76        0         1
#> 169   22.41      1  46        0         0
#> 92    22.92      1  47        0         1
#> 164.1 23.60      1  76        0         1
#> 55    19.34      1  69        0         1
#> 125   15.65      1  67        1         0
#> 133   14.65      1  57        0         0
#> 32    20.90      1  37        1         0
#> 18    15.21      1  49        1         0
#> 107   11.18      1  54        1         0
#> 111   17.45      1  47        0         1
#> 114   13.68      1  NA        0         0
#> 30    17.43      1  78        0         0
#> 32.1  20.90      1  37        1         0
#> 4.1   17.64      1  NA        0         1
#> 192   16.44      1  31        1         0
#> 145   10.07      1  65        1         0
#> 43    12.10      1  61        0         1
#> 50    10.02      1  NA        1         0
#> 197   21.60      1  69        1         0
#> 136   21.83      1  43        0         1
#> 179   18.63      1  42        0         0
#> 139   21.49      1  63        1         0
#> 56    12.21      1  60        0         0
#> 159.1 10.55      1  50        0         1
#> 97    19.14      1  65        0         1
#> 30.1  17.43      1  78        0         0
#> 127    3.53      1  62        0         1
#> 195   11.76      1  NA        1         0
#> 136.1 21.83      1  43        0         1
#> 70     7.38      1  30        1         0
#> 133.1 14.65      1  57        0         0
#> 190   20.81      1  42        1         0
#> 25     6.32      1  34        1         0
#> 184   17.77      1  38        0         0
#> 167   15.55      1  56        1         0
#> 195.1 11.76      1  NA        1         0
#> 108   18.29      1  39        0         1
#> 117   17.46      1  26        0         1
#> 150   20.33      1  48        0         0
#> 187    9.92      1  39        1         0
#> 14    12.89      1  21        0         0
#> 158   20.14      1  74        1         0
#> 134   17.81      1  47        1         0
#> 18.1  15.21      1  49        1         0
#> 58    19.34      1  39        0         0
#> 81    14.06      1  34        0         0
#> 159.2 10.55      1  50        0         1
#> 183    9.24      1  67        1         0
#> 158.1 20.14      1  74        1         0
#> 127.1  3.53      1  62        0         1
#> 123   13.00      1  44        1         0
#> 88    18.37      1  47        0         0
#> 8     18.43      1  32        0         0
#> 125.1 15.65      1  67        1         0
#> 100.1 16.07      1  60        0         0
#> 175.1 21.91      1  43        0         0
#> 134.1 17.81      1  47        1         0
#> 154   12.63      1  20        1         0
#> 125.2 15.65      1  67        1         0
#> 86    23.81      1  58        0         1
#> 177.1 12.53      1  75        0         0
#> 111.1 17.45      1  47        0         1
#> 77     7.27      1  67        0         1
#> 133.2 14.65      1  57        0         0
#> 57    14.46      1  45        0         1
#> 10    10.53      1  34        0         0
#> 10.1  10.53      1  34        0         0
#> 166.1 19.98      1  48        0         0
#> 157   15.10      1  47        0         0
#> 114.1 13.68      1  NA        0         0
#> 85    16.44      1  36        0         0
#> 167.1 15.55      1  56        1         0
#> 55.1  19.34      1  69        0         1
#> 195.2 11.76      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 10.2  10.53      1  34        0         0
#> 100.2 16.07      1  60        0         0
#> 107.1 11.18      1  54        1         0
#> 187.1  9.92      1  39        1         0
#> 117.1 17.46      1  26        0         1
#> 184.1 17.77      1  38        0         0
#> 125.3 15.65      1  67        1         0
#> 60    13.15      1  38        1         0
#> 70.1   7.38      1  30        1         0
#> 88.1  18.37      1  47        0         0
#> 45    17.42      1  54        0         1
#> 91     5.33      1  61        0         1
#> 29    15.45      1  68        1         0
#> 197.1 21.60      1  69        1         0
#> 134.2 17.81      1  47        1         0
#> 167.2 15.55      1  56        1         0
#> 77.1   7.27      1  67        0         1
#> 41    18.02      1  40        1         0
#> 81.1  14.06      1  34        0         0
#> 56.1  12.21      1  60        0         0
#> 123.1 13.00      1  44        1         0
#> 92.1  22.92      1  47        0         1
#> 73    24.00      0  NA        0         1
#> 28    24.00      0  67        1         0
#> 138   24.00      0  44        1         0
#> 102   24.00      0  49        0         0
#> 198   24.00      0  66        0         1
#> 75    24.00      0  21        1         0
#> 73.1  24.00      0  NA        0         1
#> 193   24.00      0  45        0         1
#> 112   24.00      0  61        0         0
#> 31    24.00      0  36        0         1
#> 19    24.00      0  57        0         1
#> 11    24.00      0  42        0         1
#> 27    24.00      0  63        1         0
#> 120   24.00      0  68        0         1
#> 7     24.00      0  37        1         0
#> 137   24.00      0  45        1         0
#> 72    24.00      0  40        0         1
#> 141   24.00      0  44        1         0
#> 135   24.00      0  58        1         0
#> 7.1   24.00      0  37        1         0
#> 62    24.00      0  71        0         0
#> 198.1 24.00      0  66        0         1
#> 7.2   24.00      0  37        1         0
#> 137.1 24.00      0  45        1         0
#> 147   24.00      0  76        1         0
#> 147.1 24.00      0  76        1         0
#> 44    24.00      0  56        0         0
#> 176   24.00      0  43        0         1
#> 146   24.00      0  63        1         0
#> 3     24.00      0  31        1         0
#> 165   24.00      0  47        0         0
#> 38    24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 27.1  24.00      0  63        1         0
#> 138.1 24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 120.1 24.00      0  68        0         1
#> 178   24.00      0  52        1         0
#> 144   24.00      0  28        0         1
#> 74    24.00      0  43        0         1
#> 156   24.00      0  50        1         0
#> 162   24.00      0  51        0         0
#> 1     24.00      0  23        1         0
#> 2     24.00      0   9        0         0
#> 141.1 24.00      0  44        1         0
#> 28.1  24.00      0  67        1         0
#> 163   24.00      0  66        0         0
#> 162.1 24.00      0  51        0         0
#> 173.1 24.00      0  19        0         1
#> 135.1 24.00      0  58        1         0
#> 74.1  24.00      0  43        0         1
#> 71    24.00      0  51        0         0
#> 143   24.00      0  51        0         0
#> 44.1  24.00      0  56        0         0
#> 35    24.00      0  51        0         0
#> 186   24.00      0  45        1         0
#> 3.1   24.00      0  31        1         0
#> 19.1  24.00      0  57        0         1
#> 173.2 24.00      0  19        0         1
#> 94    24.00      0  51        0         1
#> 74.2  24.00      0  43        0         1
#> 118   24.00      0  44        1         0
#> 62.1  24.00      0  71        0         0
#> 27.2  24.00      0  63        1         0
#> 73.2  24.00      0  NA        0         1
#> 119   24.00      0  17        0         0
#> 182   24.00      0  35        0         0
#> 191   24.00      0  60        0         1
#> 135.2 24.00      0  58        1         0
#> 20    24.00      0  46        1         0
#> 46    24.00      0  71        0         0
#> 119.1 24.00      0  17        0         0
#> 138.2 24.00      0  44        1         0
#> 165.1 24.00      0  47        0         0
#> 143.1 24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 138.3 24.00      0  44        1         0
#> 163.1 24.00      0  66        0         0
#> 62.2  24.00      0  71        0         0
#> 141.2 24.00      0  44        1         0
#> 172   24.00      0  41        0         0
#> 122   24.00      0  66        0         0
#> 80    24.00      0  41        0         0
#> 74.3  24.00      0  43        0         1
#> 87    24.00      0  27        0         0
#> 17    24.00      0  38        0         1
#> 44.2  24.00      0  56        0         0
#> 74.4  24.00      0  43        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.359          NA        NA      NA
#> 2 age, Cure model          0.00996        NA        NA      NA
#> 3 grade_ii, Cure model     0.0112         NA        NA      NA
#> 4 grade_iii, Cure model    0.207          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00606        NA        NA      NA
#> 2 grade_ii, Survival model   0.200          NA        NA      NA
#> 3 grade_iii, Survival model -0.564          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.359480          0.009961          0.011246          0.206757  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258.9 
#> Residual Deviance: 257.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.359479830      0.009960809      0.011246246      0.206756546 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.006060728      0.200420224     -0.563627474 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 1.486171e-02 2.597476e-03 1.037676e-01 6.649487e-01 7.656611e-02
#>   [6] 3.677064e-01 1.951288e-02 1.178676e-01 4.430909e-01 2.201124e-01
#>  [11] 7.512935e-01 8.802315e-01 4.345605e-04 1.089475e-02 4.838193e-03
#>  [16] 4.345605e-04 1.254033e-01 3.998997e-01 5.340634e-01 5.797280e-02
#>  [21] 4.995753e-01 7.263559e-01 2.948821e-01 3.150818e-01 5.797280e-02
#>  [26] 3.464941e-01 8.280154e-01 7.138300e-01 3.976686e-02 2.863630e-02
#>  [31] 1.657875e-01 5.156228e-02 6.892572e-01 7.512935e-01 1.570496e-01
#>  [36] 3.150818e-01 9.727849e-01 2.863630e-02 8.933654e-01 5.340634e-01
#>  [41] 7.015414e-02 9.459530e-01 2.566868e-01 4.544645e-01 2.013839e-01
#>  [46] 2.754442e-01 8.328173e-02 8.411012e-01 6.407216e-01 9.013712e-02
#>  [51] 2.294729e-01 4.995753e-01 1.254033e-01 5.808054e-01 7.512935e-01
#>  [56] 8.670975e-01 9.013712e-02 9.727849e-01 6.167592e-01 1.835525e-01
#>  [61] 1.746301e-01 3.998997e-01 3.677064e-01 1.951288e-02 2.294729e-01
#>  [66] 6.528444e-01 3.998997e-01 3.577274e-05 6.649487e-01 2.948821e-01
#>  [71] 9.194258e-01 5.340634e-01 5.688307e-01 7.894808e-01 7.894808e-01
#>  [76] 1.037676e-01 5.224396e-01 3.464941e-01 4.544645e-01 1.254033e-01
#>  [81] 1.486014e-01 7.894808e-01 3.677064e-01 7.263559e-01 8.411012e-01
#>  [86] 2.754442e-01 2.566868e-01 3.998997e-01 6.046897e-01 8.933654e-01
#>  [91] 1.835525e-01 3.357817e-01 9.593120e-01 4.880585e-01 3.976686e-02
#>  [96] 2.294729e-01 4.544645e-01 9.194258e-01 2.107396e-01 5.808054e-01
#> [101] 6.892572e-01 6.167592e-01 4.838193e-03 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>   194    69   166   177   128   100   175   170    39    40   159   149   164 
#> 22.40 23.23 19.98 12.53 20.35 16.07 21.91 19.54 15.59 18.00 10.55  8.37 23.60 
#>   169    92 164.1    55   125   133    32    18   107   111    30  32.1   192 
#> 22.41 22.92 23.60 19.34 15.65 14.65 20.90 15.21 11.18 17.45 17.43 20.90 16.44 
#>   145    43   197   136   179   139    56 159.1    97  30.1   127 136.1    70 
#> 10.07 12.10 21.60 21.83 18.63 21.49 12.21 10.55 19.14 17.43  3.53 21.83  7.38 
#> 133.1   190    25   184   167   108   117   150   187    14   158   134  18.1 
#> 14.65 20.81  6.32 17.77 15.55 18.29 17.46 20.33  9.92 12.89 20.14 17.81 15.21 
#>    58    81 159.2   183 158.1 127.1   123    88     8 125.1 100.1 175.1 134.1 
#> 19.34 14.06 10.55  9.24 20.14  3.53 13.00 18.37 18.43 15.65 16.07 21.91 17.81 
#>   154 125.2    86 177.1 111.1    77 133.2    57    10  10.1 166.1   157    85 
#> 12.63 15.65 23.81 12.53 17.45  7.27 14.65 14.46 10.53 10.53 19.98 15.10 16.44 
#> 167.1  55.1    76  10.2 100.2 107.1 187.1 117.1 184.1 125.3    60  70.1  88.1 
#> 15.55 19.34 19.22 10.53 16.07 11.18  9.92 17.46 17.77 15.65 13.15  7.38 18.37 
#>    45    91    29 197.1 134.2 167.2  77.1    41  81.1  56.1 123.1  92.1    28 
#> 17.42  5.33 15.45 21.60 17.81 15.55  7.27 18.02 14.06 12.21 13.00 22.92 24.00 
#>   138   102   198    75   193   112    31    19    11    27   120     7   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72   141   135   7.1    62 198.1   7.2 137.1   147 147.1    44   176   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3   165    38   151  27.1 138.1   173 120.1   178   144    74   156   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1     2 141.1  28.1   163 162.1 173.1 135.1  74.1    71   143  44.1    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186   3.1  19.1 173.2    94  74.2   118  62.1  27.2   119   182   191 135.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20    46 119.1 138.2 165.1 143.1    21 138.3 163.1  62.2 141.2   172   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80  74.3    87    17  44.2  74.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[7]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007935443               0.173244944               0.033337324 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.24033483              0.01933316              0.06590188 
#>   grade_iii, Cure model 
#>              1.41292797 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 40    18.00      1  28        1         0
#> 179   18.63      1  42        0         0
#> 57    14.46      1  45        0         1
#> 114   13.68      1  NA        0         0
#> 114.1 13.68      1  NA        0         0
#> 150   20.33      1  48        0         0
#> 129   23.41      1  53        1         0
#> 5     16.43      1  51        0         1
#> 108   18.29      1  39        0         1
#> 124    9.73      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 23    16.92      1  61        0         0
#> 43    12.10      1  61        0         1
#> 140   12.68      1  59        1         0
#> 23.1  16.92      1  61        0         0
#> 130   16.47      1  53        0         1
#> 189   10.51      1  NA        1         0
#> 117   17.46      1  26        0         1
#> 70     7.38      1  30        1         0
#> 10    10.53      1  34        0         0
#> 111   17.45      1  47        0         1
#> 81    14.06      1  34        0         0
#> 127    3.53      1  62        0         1
#> 140.1 12.68      1  59        1         0
#> 175   21.91      1  43        0         0
#> 50    10.02      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 175.1 21.91      1  43        0         0
#> 175.2 21.91      1  43        0         0
#> 158   20.14      1  74        1         0
#> 124.1  9.73      1  NA        1         0
#> 51    18.23      1  83        0         1
#> 89    11.44      1  NA        0         0
#> 150.1 20.33      1  48        0         0
#> 195   11.76      1  NA        1         0
#> 99    21.19      1  38        0         1
#> 194   22.40      1  38        0         1
#> 123   13.00      1  44        1         0
#> 140.2 12.68      1  59        1         0
#> 113   22.86      1  34        0         0
#> 60    13.15      1  38        1         0
#> 188   16.16      1  46        0         1
#> 92    22.92      1  47        0         1
#> 59    10.16      1  NA        1         0
#> 113.1 22.86      1  34        0         0
#> 123.1 13.00      1  44        1         0
#> 60.1  13.15      1  38        1         0
#> 111.1 17.45      1  47        0         1
#> 93    10.33      1  52        0         1
#> 85    16.44      1  36        0         0
#> 49    12.19      1  48        1         0
#> 58    19.34      1  39        0         0
#> 45    17.42      1  54        0         1
#> 86    23.81      1  58        0         1
#> 55    19.34      1  69        0         1
#> 187    9.92      1  39        1         0
#> 76    19.22      1  54        0         1
#> 159   10.55      1  50        0         1
#> 42    12.43      1  49        0         1
#> 61    10.12      1  36        0         1
#> 26    15.77      1  49        0         1
#> 90.1  20.94      1  50        0         1
#> 180   14.82      1  37        0         0
#> 41    18.02      1  40        1         0
#> 100   16.07      1  60        0         0
#> 155   13.08      1  26        0         0
#> 195.1 11.76      1  NA        1         0
#> 110   17.56      1  65        0         1
#> 159.1 10.55      1  50        0         1
#> 89.1  11.44      1  NA        0         0
#> 153   21.33      1  55        1         0
#> 187.1  9.92      1  39        1         0
#> 153.1 21.33      1  55        1         0
#> 40.1  18.00      1  28        1         0
#> 30    17.43      1  78        0         0
#> 37    12.52      1  57        1         0
#> 177   12.53      1  75        0         0
#> 153.2 21.33      1  55        1         0
#> 96    14.54      1  33        0         1
#> 130.1 16.47      1  53        0         1
#> 166   19.98      1  48        0         0
#> 127.1  3.53      1  62        0         1
#> 199   19.81      1  NA        0         1
#> 18    15.21      1  49        1         0
#> 39    15.59      1  37        0         1
#> 166.1 19.98      1  48        0         0
#> 30.1  17.43      1  78        0         0
#> 111.2 17.45      1  47        0         1
#> 166.2 19.98      1  48        0         0
#> 42.1  12.43      1  49        0         1
#> 153.3 21.33      1  55        1         0
#> 86.1  23.81      1  58        0         1
#> 164   23.60      1  76        0         1
#> 153.4 21.33      1  55        1         0
#> 124.2  9.73      1  NA        1         0
#> 153.5 21.33      1  55        1         0
#> 23.2  16.92      1  61        0         0
#> 77     7.27      1  67        0         1
#> 197   21.60      1  69        1         0
#> 5.1   16.43      1  51        0         1
#> 39.1  15.59      1  37        0         1
#> 114.2 13.68      1  NA        0         0
#> 97    19.14      1  65        0         1
#> 76.1  19.22      1  54        0         1
#> 6     15.64      1  39        0         0
#> 32    20.90      1  37        1         0
#> 154   12.63      1  20        1         0
#> 92.1  22.92      1  47        0         1
#> 188.1 16.16      1  46        0         1
#> 88    18.37      1  47        0         0
#> 6.1   15.64      1  39        0         0
#> 42.2  12.43      1  49        0         1
#> 9     24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 33    24.00      0  53        0         0
#> 148   24.00      0  61        1         0
#> 87    24.00      0  27        0         0
#> 160   24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 20    24.00      0  46        1         0
#> 165   24.00      0  47        0         0
#> 200   24.00      0  64        0         0
#> 54    24.00      0  53        1         0
#> 71    24.00      0  51        0         0
#> 12    24.00      0  63        0         0
#> 38    24.00      0  31        1         0
#> 131   24.00      0  66        0         0
#> 141   24.00      0  44        1         0
#> 109   24.00      0  48        0         0
#> 141.1 24.00      0  44        1         0
#> 102   24.00      0  49        0         0
#> 162   24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 83.1  24.00      0   6        0         0
#> 162.1 24.00      0  51        0         0
#> 122   24.00      0  66        0         0
#> 162.2 24.00      0  51        0         0
#> 7     24.00      0  37        1         0
#> 138   24.00      0  44        1         0
#> 162.3 24.00      0  51        0         0
#> 102.1 24.00      0  49        0         0
#> 3     24.00      0  31        1         0
#> 148.1 24.00      0  61        1         0
#> 173   24.00      0  19        0         1
#> 173.1 24.00      0  19        0         1
#> 146   24.00      0  63        1         0
#> 62    24.00      0  71        0         0
#> 98    24.00      0  34        1         0
#> 34    24.00      0  36        0         0
#> 72    24.00      0  40        0         1
#> 174   24.00      0  49        1         0
#> 147   24.00      0  76        1         0
#> 161   24.00      0  45        0         0
#> 120   24.00      0  68        0         1
#> 54.1  24.00      0  53        1         0
#> 182   24.00      0  35        0         0
#> 112   24.00      0  61        0         0
#> 160.1 24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 121   24.00      0  57        1         0
#> 35    24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 160.2 24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 138.1 24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 138.2 24.00      0  44        1         0
#> 116   24.00      0  58        0         1
#> 178   24.00      0  52        1         0
#> 33.1  24.00      0  53        0         0
#> 72.1  24.00      0  40        0         1
#> 72.2  24.00      0  40        0         1
#> 84    24.00      0  39        0         1
#> 126   24.00      0  48        0         0
#> 196   24.00      0  19        0         0
#> 102.2 24.00      0  49        0         0
#> 34.1  24.00      0  36        0         0
#> 104   24.00      0  50        1         0
#> 47    24.00      0  38        0         1
#> 73    24.00      0  NA        0         1
#> 20.1  24.00      0  46        1         0
#> 17    24.00      0  38        0         1
#> 147.1 24.00      0  76        1         0
#> 65    24.00      0  57        1         0
#> 118.1 24.00      0  44        1         0
#> 7.1   24.00      0  37        1         0
#> 12.1  24.00      0  63        0         0
#> 137   24.00      0  45        1         0
#> 143   24.00      0  51        0         0
#> 47.1  24.00      0  38        0         1
#> 48    24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 173.2 24.00      0  19        0         1
#> 161.1 24.00      0  45        0         0
#> 152   24.00      0  36        0         1
#> 80    24.00      0  41        0         0
#> 118.2 24.00      0  44        1         0
#> 172   24.00      0  41        0         0
#> 109.1 24.00      0  48        0         0
#> 53    24.00      0  32        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.24          NA        NA      NA
#> 2 age, Cure model           0.0193        NA        NA      NA
#> 3 grade_ii, Cure model      0.0659        NA        NA      NA
#> 4 grade_iii, Cure model     1.41          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00794        NA        NA      NA
#> 2 grade_ii, Survival model   0.173          NA        NA      NA
#> 3 grade_iii, Survival model  0.0333         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.24033           0.01933           0.06590           1.41293  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.8 
#> Residual Deviance: 236.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.24033483       0.01933316       0.06590188       1.41292797 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007935443      0.173244944      0.033337324 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.293570042 0.244169420 0.619575189 0.147829495 0.011107927 0.463764092
#>   [7] 0.263600575 0.016196465 0.396858178 0.836847803 0.707532689 0.396858178
#>  [13] 0.429705553 0.323670235 0.944880454 0.876948286 0.333947802 0.632078247
#>  [19] 0.972356109 0.707532689 0.050674061 0.124026919 0.050674061 0.050674061
#>  [25] 0.164188493 0.273462311 0.147829495 0.116235028 0.044115882 0.682296082
#>  [31] 0.707532689 0.032355015 0.644640071 0.486823854 0.021553837 0.032355015
#>  [37] 0.682296082 0.644640071 0.333947802 0.890475241 0.452266919 0.823572614
#>  [43] 0.198256260 0.385949269 0.001405750 0.198256260 0.917705238 0.216187727
#>  [49] 0.850199846 0.784501738 0.904067374 0.522124225 0.124026919 0.594759687
#>  [55] 0.283492225 0.510196293 0.669635193 0.313444270 0.850199846 0.077167771
#>  [61] 0.917705238 0.077167771 0.293570042 0.364633675 0.771453587 0.758458962
#>  [67] 0.077167771 0.607141533 0.429705553 0.172730667 0.972356109 0.582443088
#>  [73] 0.558168843 0.172730667 0.364633675 0.333947802 0.172730667 0.784501738
#>  [79] 0.077167771 0.001405750 0.006508434 0.077167771 0.077167771 0.396858178
#>  [85] 0.958579646 0.069849180 0.463764092 0.558168843 0.234618846 0.216187727
#>  [91] 0.534134251 0.139704273 0.745563436 0.021553837 0.486823854 0.253827099
#>  [97] 0.534134251 0.784501738 0.000000000 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    40   179    57   150   129     5   108    69    23    43   140  23.1   130 
#> 18.00 18.63 14.46 20.33 23.41 16.43 18.29 23.23 16.92 12.10 12.68 16.92 16.47 
#>   117    70    10   111    81   127 140.1   175    90 175.1 175.2   158    51 
#> 17.46  7.38 10.53 17.45 14.06  3.53 12.68 21.91 20.94 21.91 21.91 20.14 18.23 
#> 150.1    99   194   123 140.2   113    60   188    92 113.1 123.1  60.1 111.1 
#> 20.33 21.19 22.40 13.00 12.68 22.86 13.15 16.16 22.92 22.86 13.00 13.15 17.45 
#>    93    85    49    58    45    86    55   187    76   159    42    61    26 
#> 10.33 16.44 12.19 19.34 17.42 23.81 19.34  9.92 19.22 10.55 12.43 10.12 15.77 
#>  90.1   180    41   100   155   110 159.1   153 187.1 153.1  40.1    30    37 
#> 20.94 14.82 18.02 16.07 13.08 17.56 10.55 21.33  9.92 21.33 18.00 17.43 12.52 
#>   177 153.2    96 130.1   166 127.1    18    39 166.1  30.1 111.2 166.2  42.1 
#> 12.53 21.33 14.54 16.47 19.98  3.53 15.21 15.59 19.98 17.43 17.45 19.98 12.43 
#> 153.3  86.1   164 153.4 153.5  23.2    77   197   5.1  39.1    97  76.1     6 
#> 21.33 23.81 23.60 21.33 21.33 16.92  7.27 21.60 16.43 15.59 19.14 19.22 15.64 
#>    32   154  92.1 188.1    88   6.1  42.2     9    28    33   148    87   160 
#> 20.90 12.63 22.92 16.16 18.37 15.64 12.43 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22    20   165   200    54    71    12    38   131   141   109 141.1   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162    83  83.1 162.1   122 162.2     7   138 162.3 102.1     3 148.1   173 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 173.1   146    62    98    34    72   174   147   161   120  54.1   182   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 160.1    21   121    35   118 160.2   142 138.1   163 138.2   116   178  33.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.1  72.2    84   126   196 102.2  34.1   104    47  20.1    17 147.1    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 118.1   7.1  12.1   137   143  47.1    48    19 173.2 161.1   152    80 118.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172 109.1    53 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[8]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001289253               0.564392350               0.399953062 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            0.0167859016            0.0003424235           -0.4253214341 
#>   grade_iii, Cure model 
#>            0.8825953392 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 29    15.45      1  68        1         0
#> 30    17.43      1  78        0         0
#> 111   17.45      1  47        0         1
#> 60    13.15      1  38        1         0
#> 190   20.81      1  42        1         0
#> 57    14.46      1  45        0         1
#> 134   17.81      1  47        1         0
#> 183    9.24      1  67        1         0
#> 15    22.68      1  48        0         0
#> 90    20.94      1  50        0         1
#> 37    12.52      1  57        1         0
#> 124    9.73      1  NA        1         0
#> 194   22.40      1  38        0         1
#> 190.1 20.81      1  42        1         0
#> 136   21.83      1  43        0         1
#> 154   12.63      1  20        1         0
#> 181   16.46      1  45        0         1
#> 190.2 20.81      1  42        1         0
#> 90.1  20.94      1  50        0         1
#> 155   13.08      1  26        0         0
#> 50    10.02      1  NA        1         0
#> 51    18.23      1  83        0         1
#> 30.1  17.43      1  78        0         0
#> 117   17.46      1  26        0         1
#> 170   19.54      1  43        0         1
#> 15.1  22.68      1  48        0         0
#> 154.1 12.63      1  20        1         0
#> 139   21.49      1  63        1         0
#> 150   20.33      1  48        0         0
#> 13    14.34      1  54        0         1
#> 108   18.29      1  39        0         1
#> 55    19.34      1  69        0         1
#> 111.1 17.45      1  47        0         1
#> 43    12.10      1  61        0         1
#> 90.2  20.94      1  50        0         1
#> 43.1  12.10      1  61        0         1
#> 77     7.27      1  67        0         1
#> 24    23.89      1  38        0         0
#> 183.1  9.24      1  67        1         0
#> 13.1  14.34      1  54        0         1
#> 6     15.64      1  39        0         0
#> 166   19.98      1  48        0         0
#> 97    19.14      1  65        0         1
#> 59    10.16      1  NA        1         0
#> 190.3 20.81      1  42        1         0
#> 88    18.37      1  47        0         0
#> 113   22.86      1  34        0         0
#> 89    11.44      1  NA        0         0
#> 183.2  9.24      1  67        1         0
#> 51.1  18.23      1  83        0         1
#> 195   11.76      1  NA        1         0
#> 149    8.37      1  33        1         0
#> 13.2  14.34      1  54        0         1
#> 99    21.19      1  38        0         1
#> 150.1 20.33      1  48        0         0
#> 36    21.19      1  48        0         1
#> 179   18.63      1  42        0         0
#> 129   23.41      1  53        1         0
#> 164   23.60      1  76        0         1
#> 45    17.42      1  54        0         1
#> 76    19.22      1  54        0         1
#> 101    9.97      1  10        0         1
#> 133   14.65      1  57        0         0
#> 10    10.53      1  34        0         0
#> 169   22.41      1  46        0         0
#> 25     6.32      1  34        1         0
#> 10.1  10.53      1  34        0         0
#> 42    12.43      1  49        0         1
#> 199   19.81      1  NA        0         1
#> 124.1  9.73      1  NA        1         0
#> 55.1  19.34      1  69        0         1
#> 45.1  17.42      1  54        0         1
#> 133.1 14.65      1  57        0         0
#> 24.1  23.89      1  38        0         0
#> 57.1  14.46      1  45        0         1
#> 8     18.43      1  32        0         0
#> 96    14.54      1  33        0         1
#> 41    18.02      1  40        1         0
#> 168   23.72      1  70        0         0
#> 42.1  12.43      1  49        0         1
#> 108.1 18.29      1  39        0         1
#> 133.2 14.65      1  57        0         0
#> 175   21.91      1  43        0         0
#> 117.1 17.46      1  26        0         1
#> 58    19.34      1  39        0         0
#> 86    23.81      1  58        0         1
#> 123   13.00      1  44        1         0
#> 81    14.06      1  34        0         0
#> 133.3 14.65      1  57        0         0
#> 145   10.07      1  65        1         0
#> 58.1  19.34      1  39        0         0
#> 58.2  19.34      1  39        0         0
#> 63    22.77      1  31        1         0
#> 69    23.23      1  25        0         1
#> 154.2 12.63      1  20        1         0
#> 127    3.53      1  62        0         1
#> 4     17.64      1  NA        0         1
#> 4.1   17.64      1  NA        0         1
#> 13.3  14.34      1  54        0         1
#> 167   15.55      1  56        1         0
#> 40    18.00      1  28        1         0
#> 14    12.89      1  21        0         0
#> 39    15.59      1  37        0         1
#> 153   21.33      1  55        1         0
#> 41.1  18.02      1  40        1         0
#> 37.1  12.52      1  57        1         0
#> 97.1  19.14      1  65        0         1
#> 68    20.62      1  44        0         0
#> 93    10.33      1  52        0         1
#> 26    15.77      1  49        0         1
#> 39.1  15.59      1  37        0         1
#> 184   17.77      1  38        0         0
#> 109   24.00      0  48        0         0
#> 141   24.00      0  44        1         0
#> 138   24.00      0  44        1         0
#> 160   24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 152   24.00      0  36        0         1
#> 156   24.00      0  50        1         0
#> 103   24.00      0  56        1         0
#> 9     24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 98    24.00      0  34        1         0
#> 186   24.00      0  45        1         0
#> 147   24.00      0  76        1         0
#> 47    24.00      0  38        0         1
#> 104   24.00      0  50        1         0
#> 137   24.00      0  45        1         0
#> 137.1 24.00      0  45        1         0
#> 33    24.00      0  53        0         0
#> 138.1 24.00      0  44        1         0
#> 19    24.00      0  57        0         1
#> 135   24.00      0  58        1         0
#> 161   24.00      0  45        0         0
#> 3     24.00      0  31        1         0
#> 33.1  24.00      0  53        0         0
#> 146   24.00      0  63        1         0
#> 103.1 24.00      0  56        1         0
#> 148   24.00      0  61        1         0
#> 160.1 24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 186.1 24.00      0  45        1         0
#> 95    24.00      0  68        0         1
#> 186.2 24.00      0  45        1         0
#> 152.1 24.00      0  36        0         1
#> 138.2 24.00      0  44        1         0
#> 152.2 24.00      0  36        0         1
#> 82    24.00      0  34        0         0
#> 75    24.00      0  21        1         0
#> 38    24.00      0  31        1         0
#> 198   24.00      0  66        0         1
#> 176   24.00      0  43        0         1
#> 95.1  24.00      0  68        0         1
#> 121   24.00      0  57        1         0
#> 141.1 24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 126   24.00      0  48        0         0
#> 27    24.00      0  63        1         0
#> 144   24.00      0  28        0         1
#> 122.1 24.00      0  66        0         0
#> 1     24.00      0  23        1         0
#> 176.1 24.00      0  43        0         1
#> 35    24.00      0  51        0         0
#> 141.2 24.00      0  44        1         0
#> 35.1  24.00      0  51        0         0
#> 172.1 24.00      0  41        0         0
#> 80    24.00      0  41        0         0
#> 19.1  24.00      0  57        0         1
#> 19.2  24.00      0  57        0         1
#> 163   24.00      0  66        0         0
#> 35.2  24.00      0  51        0         0
#> 137.2 24.00      0  45        1         0
#> 148.1 24.00      0  61        1         0
#> 193   24.00      0  45        0         1
#> 174   24.00      0  49        1         0
#> 28    24.00      0  67        1         0
#> 48    24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 95.2  24.00      0  68        0         1
#> 122.2 24.00      0  66        0         0
#> 109.1 24.00      0  48        0         0
#> 132   24.00      0  55        0         0
#> 47.1  24.00      0  38        0         1
#> 196   24.00      0  19        0         0
#> 161.1 24.00      0  45        0         0
#> 48.1  24.00      0  31        1         0
#> 38.1  24.00      0  31        1         0
#> 98.1  24.00      0  34        1         0
#> 131   24.00      0  66        0         0
#> 9.1   24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 103.2 24.00      0  56        1         0
#> 122.3 24.00      0  66        0         0
#> 21    24.00      0  47        0         0
#> 53    24.00      0  32        0         1
#> 84    24.00      0  39        0         1
#> 112   24.00      0  61        0         0
#> 186.3 24.00      0  45        1         0
#> 102   24.00      0  49        0         0
#> 71    24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.0168          NA        NA      NA
#> 2 age, Cure model          0.000342        NA        NA      NA
#> 3 grade_ii, Cure model    -0.425           NA        NA      NA
#> 4 grade_iii, Cure model    0.883           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00129        NA        NA      NA
#> 2 grade_ii, Survival model   0.564          NA        NA      NA
#> 3 grade_iii, Survival model  0.400          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        0.0167859         0.0003424        -0.4253214         0.8825953  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.6 
#> Residual Deviance: 250.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     0.0167859016     0.0003424235    -0.4253214341     0.8825953392 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001289253      0.564392350      0.399953062 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.70539805 0.62075056 0.60360980 0.81043488 0.31358357 0.75449353
#>   [7] 0.56857339 0.94873672 0.15693694 0.28190074 0.86539669 0.19609410
#>  [13] 0.31358357 0.22222101 0.84227319 0.65494363 0.31358357 0.28190074
#>  [19] 0.81841738 0.52337618 0.62075056 0.58627014 0.39146374 0.15693694
#>  [25] 0.84227319 0.23499746 0.36171855 0.77074855 0.50482132 0.40137243
#>  [31] 0.60360980 0.89591387 0.28190074 0.89591387 0.97809587 0.01704981
#>  [37] 0.94873672 0.77074855 0.67192813 0.38145083 0.45753576 0.31358357
#>  [43] 0.49530936 0.12942151 0.94873672 0.52337618 0.97074275 0.77074855
#>  [49] 0.25933438 0.36171855 0.25933438 0.47631442 0.10032453 0.08379625
#>  [55] 0.63793675 0.44789952 0.94123648 0.71366109 0.91102237 0.18267813
#>  [61] 0.98542869 0.91102237 0.88070820 0.40137243 0.63793675 0.71366109
#>  [67] 0.01704981 0.75449353 0.48580814 0.74624896 0.54170991 0.06605096
#>  [73] 0.88070820 0.50482132 0.71366109 0.20913543 0.58627014 0.40137243
#>  [79] 0.04873272 0.82640245 0.80239900 0.71366109 0.93370788 0.40137243
#>  [85] 0.40137243 0.14363217 0.11527893 0.84227319 0.99272443 0.77074855
#>  [91] 0.69707547 0.55963721 0.83433681 0.68040386 0.24735674 0.54170991
#>  [97] 0.86539669 0.45753576 0.35174729 0.92614163 0.66345764 0.68040386
#> [103] 0.57741852 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    29    30   111    60   190    57   134   183    15    90    37   194 190.1 
#> 15.45 17.43 17.45 13.15 20.81 14.46 17.81  9.24 22.68 20.94 12.52 22.40 20.81 
#>   136   154   181 190.2  90.1   155    51  30.1   117   170  15.1 154.1   139 
#> 21.83 12.63 16.46 20.81 20.94 13.08 18.23 17.43 17.46 19.54 22.68 12.63 21.49 
#>   150    13   108    55 111.1    43  90.2  43.1    77    24 183.1  13.1     6 
#> 20.33 14.34 18.29 19.34 17.45 12.10 20.94 12.10  7.27 23.89  9.24 14.34 15.64 
#>   166    97 190.3    88   113 183.2  51.1   149  13.2    99 150.1    36   179 
#> 19.98 19.14 20.81 18.37 22.86  9.24 18.23  8.37 14.34 21.19 20.33 21.19 18.63 
#>   129   164    45    76   101   133    10   169    25  10.1    42  55.1  45.1 
#> 23.41 23.60 17.42 19.22  9.97 14.65 10.53 22.41  6.32 10.53 12.43 19.34 17.42 
#> 133.1  24.1  57.1     8    96    41   168  42.1 108.1 133.2   175 117.1    58 
#> 14.65 23.89 14.46 18.43 14.54 18.02 23.72 12.43 18.29 14.65 21.91 17.46 19.34 
#>    86   123    81 133.3   145  58.1  58.2    63    69 154.2   127  13.3   167 
#> 23.81 13.00 14.06 14.65 10.07 19.34 19.34 22.77 23.23 12.63  3.53 14.34 15.55 
#>    40    14    39   153  41.1  37.1  97.1    68    93    26  39.1   184   109 
#> 18.00 12.89 15.59 21.33 18.02 12.52 19.14 20.62 10.33 15.77 15.59 17.77 24.00 
#>   141   138   160   172   152   156   103     9   122    98   186   147    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104   137 137.1    33 138.1    19   135   161     3  33.1   146 103.1   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 160.1    87 186.1    95 186.2 152.1 138.2 152.2    82    75    38   198   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  95.1   121 141.1   151   126    27   144 122.1     1 176.1    35 141.2  35.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.1    80  19.1  19.2   163  35.2 137.2 148.1   193   174    28    48   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  95.2 122.2 109.1   132  47.1   196 161.1  48.1  38.1  98.1   131   9.1    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 103.2 122.3    21    53    84   112 186.3   102    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[9]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007895424               0.970360170               1.307794463 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.05824052              0.02090246              0.08327502 
#>   grade_iii, Cure model 
#>              1.04802521 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 40    18.00      1  28        1         0
#> 10    10.53      1  34        0         0
#> 40.1  18.00      1  28        1         0
#> 168   23.72      1  70        0         0
#> 18    15.21      1  49        1         0
#> 42    12.43      1  49        0         1
#> 130   16.47      1  53        0         1
#> 189   10.51      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 57    14.46      1  45        0         1
#> 114   13.68      1  NA        0         0
#> 30    17.43      1  78        0         0
#> 32    20.90      1  37        1         0
#> 129   23.41      1  53        1         0
#> 130.1 16.47      1  53        0         1
#> 168.1 23.72      1  70        0         0
#> 78    23.88      1  43        0         0
#> 24    23.89      1  38        0         0
#> 100   16.07      1  60        0         0
#> 90    20.94      1  50        0         1
#> 56    12.21      1  60        0         0
#> 136   21.83      1  43        0         1
#> 41    18.02      1  40        1         0
#> 140   12.68      1  59        1         0
#> 32.1  20.90      1  37        1         0
#> 179   18.63      1  42        0         0
#> 25     6.32      1  34        1         0
#> 130.2 16.47      1  53        0         1
#> 18.1  15.21      1  49        1         0
#> 24.1  23.89      1  38        0         0
#> 113   22.86      1  34        0         0
#> 111   17.45      1  47        0         1
#> 140.1 12.68      1  59        1         0
#> 58    19.34      1  39        0         0
#> 6     15.64      1  39        0         0
#> 181   16.46      1  45        0         1
#> 57.1  14.46      1  45        0         1
#> 139   21.49      1  63        1         0
#> 117   17.46      1  26        0         1
#> 76    19.22      1  54        0         1
#> 101    9.97      1  10        0         1
#> 154   12.63      1  20        1         0
#> 61    10.12      1  36        0         1
#> 101.1  9.97      1  10        0         1
#> 130.3 16.47      1  53        0         1
#> 14    12.89      1  21        0         0
#> 183    9.24      1  67        1         0
#> 6.1   15.64      1  39        0         0
#> 43    12.10      1  61        0         1
#> 60    13.15      1  38        1         0
#> 4     17.64      1  NA        0         1
#> 140.2 12.68      1  59        1         0
#> 55    19.34      1  69        0         1
#> 155   13.08      1  26        0         0
#> 168.2 23.72      1  70        0         0
#> 153   21.33      1  55        1         0
#> 29    15.45      1  68        1         0
#> 170   19.54      1  43        0         1
#> 55.1  19.34      1  69        0         1
#> 145   10.07      1  65        1         0
#> 40.2  18.00      1  28        1         0
#> 113.1 22.86      1  34        0         0
#> 13    14.34      1  54        0         1
#> 192   16.44      1  31        1         0
#> 68    20.62      1  44        0         0
#> 127    3.53      1  62        0         1
#> 194   22.40      1  38        0         1
#> 158   20.14      1  74        1         0
#> 61.1  10.12      1  36        0         1
#> 97    19.14      1  65        0         1
#> 107   11.18      1  54        1         0
#> 42.1  12.43      1  49        0         1
#> 113.2 22.86      1  34        0         0
#> 93    10.33      1  52        0         1
#> 125   15.65      1  67        1         0
#> 42.2  12.43      1  49        0         1
#> 61.2  10.12      1  36        0         1
#> 168.3 23.72      1  70        0         0
#> 125.1 15.65      1  67        1         0
#> 177   12.53      1  75        0         0
#> 124    9.73      1  NA        1         0
#> 110   17.56      1  65        0         1
#> 91     5.33      1  61        0         1
#> 96    14.54      1  33        0         1
#> 52    10.42      1  52        0         1
#> 88    18.37      1  47        0         0
#> 108   18.29      1  39        0         1
#> 26    15.77      1  49        0         1
#> 179.1 18.63      1  42        0         0
#> 40.3  18.00      1  28        1         0
#> 175   21.91      1  43        0         0
#> 43.1  12.10      1  61        0         1
#> 179.2 18.63      1  42        0         0
#> 153.1 21.33      1  55        1         0
#> 175.1 21.91      1  43        0         0
#> 40.4  18.00      1  28        1         0
#> 15    22.68      1  48        0         0
#> 26.1  15.77      1  49        0         1
#> 133   14.65      1  57        0         0
#> 57.2  14.46      1  45        0         1
#> 177.1 12.53      1  75        0         0
#> 110.1 17.56      1  65        0         1
#> 88.1  18.37      1  47        0         0
#> 187    9.92      1  39        1         0
#> 168.4 23.72      1  70        0         0
#> 30.1  17.43      1  78        0         0
#> 197   21.60      1  69        1         0
#> 197.1 21.60      1  69        1         0
#> 70     7.38      1  30        1         0
#> 150   20.33      1  48        0         0
#> 127.1  3.53      1  62        0         1
#> 50    10.02      1  NA        1         0
#> 151   24.00      0  42        0         0
#> 109   24.00      0  48        0         0
#> 34    24.00      0  36        0         0
#> 67    24.00      0  25        0         0
#> 48    24.00      0  31        1         0
#> 126   24.00      0  48        0         0
#> 103   24.00      0  56        1         0
#> 163   24.00      0  66        0         0
#> 22    24.00      0  52        1         0
#> 137   24.00      0  45        1         0
#> 161   24.00      0  45        0         0
#> 131   24.00      0  66        0         0
#> 146   24.00      0  63        1         0
#> 82    24.00      0  34        0         0
#> 163.1 24.00      0  66        0         0
#> 172   24.00      0  41        0         0
#> 47    24.00      0  38        0         1
#> 83    24.00      0   6        0         0
#> 11    24.00      0  42        0         1
#> 71    24.00      0  51        0         0
#> 28    24.00      0  67        1         0
#> 116   24.00      0  58        0         1
#> 83.1  24.00      0   6        0         0
#> 102   24.00      0  49        0         0
#> 174   24.00      0  49        1         0
#> 87    24.00      0  27        0         0
#> 141   24.00      0  44        1         0
#> 35    24.00      0  51        0         0
#> 83.2  24.00      0   6        0         0
#> 3     24.00      0  31        1         0
#> 161.1 24.00      0  45        0         0
#> 53    24.00      0  32        0         1
#> 146.1 24.00      0  63        1         0
#> 186   24.00      0  45        1         0
#> 67.1  24.00      0  25        0         0
#> 161.2 24.00      0  45        0         0
#> 191   24.00      0  60        0         1
#> 138   24.00      0  44        1         0
#> 48.1  24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 161.3 24.00      0  45        0         0
#> 182   24.00      0  35        0         0
#> 98    24.00      0  34        1         0
#> 33    24.00      0  53        0         0
#> 146.2 24.00      0  63        1         0
#> 82.1  24.00      0  34        0         0
#> 87.1  24.00      0  27        0         0
#> 72    24.00      0  40        0         1
#> 126.1 24.00      0  48        0         0
#> 9     24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 160   24.00      0  31        1         0
#> 102.1 24.00      0  49        0         0
#> 122   24.00      0  66        0         0
#> 7     24.00      0  37        1         0
#> 152   24.00      0  36        0         1
#> 132   24.00      0  55        0         0
#> 119   24.00      0  17        0         0
#> 115   24.00      0  NA        1         0
#> 103.1 24.00      0  56        1         0
#> 191.1 24.00      0  60        0         1
#> 120   24.00      0  68        0         1
#> 138.1 24.00      0  44        1         0
#> 137.1 24.00      0  45        1         0
#> 165   24.00      0  47        0         0
#> 143   24.00      0  51        0         0
#> 174.1 24.00      0  49        1         0
#> 53.1  24.00      0  32        0         1
#> 119.1 24.00      0  17        0         0
#> 135   24.00      0  58        1         0
#> 84    24.00      0  39        0         1
#> 173   24.00      0  19        0         1
#> 73    24.00      0  NA        0         1
#> 138.2 24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 138.3 24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 20    24.00      0  46        1         0
#> 120.1 24.00      0  68        0         1
#> 82.2  24.00      0  34        0         0
#> 28.1  24.00      0  67        1         0
#> 126.2 24.00      0  48        0         0
#> 148   24.00      0  61        1         0
#> 95    24.00      0  68        0         1
#> 143.1 24.00      0  51        0         0
#> 191.2 24.00      0  60        0         1
#> 75.1  24.00      0  21        1         0
#> 75.2  24.00      0  21        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.06          NA        NA      NA
#> 2 age, Cure model           0.0209        NA        NA      NA
#> 3 grade_ii, Cure model      0.0833        NA        NA      NA
#> 4 grade_iii, Cure model     1.05          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00790        NA        NA      NA
#> 2 grade_ii, Survival model   0.970          NA        NA      NA
#> 3 grade_iii, Survival model  1.31           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.05824           0.02090           0.08328           1.04803  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.3 
#> Residual Deviance: 251 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.05824052       0.02090246       0.08327502       1.04802521 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007895424      0.970360170      1.307794463 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.552143994 0.908248386 0.552143994 0.040172534 0.750566206 0.864613329
#>   [7] 0.646372902 0.192088631 0.779013884 0.629750496 0.358565910 0.107687204
#>  [13] 0.646372902 0.040172534 0.025465821 0.006602465 0.692157028 0.345921377
#>  [19] 0.883385451 0.261275449 0.542216960 0.825688867 0.358565910 0.481131593
#>  [25] 0.978088351 0.646372902 0.750566206 0.006602465 0.124727553 0.621484717
#>  [31] 0.825688867 0.429055257 0.728789843 0.676964492 0.779013884 0.305449432
#>  [37] 0.613044775 0.460577895 0.949934747 0.845150256 0.926624057 0.949934747
#>  [43] 0.646372902 0.819046547 0.966881326 0.728789843 0.889704691 0.805788387
#>  [49] 0.825688867 0.429055257 0.812412448 0.040172534 0.319691058 0.743309314
#>  [55] 0.417702532 0.429055257 0.944095604 0.552143994 0.124727553 0.799111918
#>  [61] 0.684605681 0.381845142 0.989155885 0.211318700 0.405822444 0.926624057
#>  [67] 0.470990770 0.902073396 0.864613329 0.124727553 0.920557983 0.714346639
#>  [73] 0.864613329 0.926624057 0.040172534 0.714346639 0.851625049 0.595806991
#>  [79] 0.983642113 0.771963981 0.914433276 0.511447476 0.532119064 0.699739589
#>  [85] 0.481131593 0.552143994 0.227922922 0.889704691 0.481131593 0.319691058
#>  [91] 0.227922922 0.552143994 0.173428528 0.699739589 0.764792938 0.779013884
#>  [97] 0.851625049 0.595806991 0.511447476 0.961242152 0.040172534 0.629750496
#> [103] 0.276843299 0.276843299 0.972502311 0.393776216 0.989155885 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000
#> 
#> $Time
#>    40    10  40.1   168    18    42   130   169    57    30    32   129 130.1 
#> 18.00 10.53 18.00 23.72 15.21 12.43 16.47 22.41 14.46 17.43 20.90 23.41 16.47 
#> 168.1    78    24   100    90    56   136    41   140  32.1   179    25 130.2 
#> 23.72 23.88 23.89 16.07 20.94 12.21 21.83 18.02 12.68 20.90 18.63  6.32 16.47 
#>  18.1  24.1   113   111 140.1    58     6   181  57.1   139   117    76   101 
#> 15.21 23.89 22.86 17.45 12.68 19.34 15.64 16.46 14.46 21.49 17.46 19.22  9.97 
#>   154    61 101.1 130.3    14   183   6.1    43    60 140.2    55   155 168.2 
#> 12.63 10.12  9.97 16.47 12.89  9.24 15.64 12.10 13.15 12.68 19.34 13.08 23.72 
#>   153    29   170  55.1   145  40.2 113.1    13   192    68   127   194   158 
#> 21.33 15.45 19.54 19.34 10.07 18.00 22.86 14.34 16.44 20.62  3.53 22.40 20.14 
#>  61.1    97   107  42.1 113.2    93   125  42.2  61.2 168.3 125.1   177   110 
#> 10.12 19.14 11.18 12.43 22.86 10.33 15.65 12.43 10.12 23.72 15.65 12.53 17.56 
#>    91    96    52    88   108    26 179.1  40.3   175  43.1 179.2 153.1 175.1 
#>  5.33 14.54 10.42 18.37 18.29 15.77 18.63 18.00 21.91 12.10 18.63 21.33 21.91 
#>  40.4    15  26.1   133  57.2 177.1 110.1  88.1   187 168.4  30.1   197 197.1 
#> 18.00 22.68 15.77 14.65 14.46 12.53 17.56 18.37  9.92 23.72 17.43 21.60 21.60 
#>    70   150 127.1   151   109    34    67    48   126   103   163    22   137 
#>  7.38 20.33  3.53 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161   131   146    82 163.1   172    47    83    11    71    28   116  83.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102   174    87   141    35  83.2     3 161.1    53 146.1   186  67.1 161.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   191   138  48.1   118 161.3   182    98    33 146.2  82.1  87.1    72 126.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9    75   160 102.1   122     7   152   132   119 103.1 191.1   120 138.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 137.1   165   143 174.1  53.1 119.1   135    84   173 138.2   112 138.3    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20 120.1  82.2  28.1 126.2   148    95 143.1 191.2  75.1  75.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[10]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.008352158               0.297604632               0.268869092 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.72176478              0.01654259             -0.37190058 
#>   grade_iii, Cure model 
#>              0.85261986 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 150   20.33      1  48        0         0
#> 189   10.51      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 123   13.00      1  44        1         0
#> 78    23.88      1  43        0         0
#> 85    16.44      1  36        0         0
#> 68    20.62      1  44        0         0
#> 113   22.86      1  34        0         0
#> 15    22.68      1  48        0         0
#> 107   11.18      1  54        1         0
#> 32    20.90      1  37        1         0
#> 89    11.44      1  NA        0         0
#> 105   19.75      1  60        0         0
#> 39    15.59      1  37        0         1
#> 52    10.42      1  52        0         1
#> 97    19.14      1  65        0         1
#> 13    14.34      1  54        0         1
#> 58    19.34      1  39        0         0
#> 167   15.55      1  56        1         0
#> 16     8.71      1  71        0         1
#> 15.1  22.68      1  48        0         0
#> 114   13.68      1  NA        0         0
#> 145   10.07      1  65        1         0
#> 128   20.35      1  35        0         1
#> 199   19.81      1  NA        0         1
#> 69    23.23      1  25        0         1
#> 39.1  15.59      1  37        0         1
#> 26    15.77      1  49        0         1
#> 16.1   8.71      1  71        0         1
#> 61    10.12      1  36        0         1
#> 88    18.37      1  47        0         0
#> 139   21.49      1  63        1         0
#> 127    3.53      1  62        0         1
#> 108   18.29      1  39        0         1
#> 76    19.22      1  54        0         1
#> 39.2  15.59      1  37        0         1
#> 169   22.41      1  46        0         0
#> 101    9.97      1  10        0         1
#> 93    10.33      1  52        0         1
#> 77     7.27      1  67        0         1
#> 189.1 10.51      1  NA        1         0
#> 190   20.81      1  42        1         0
#> 113.1 22.86      1  34        0         0
#> 134   17.81      1  47        1         0
#> 189.2 10.51      1  NA        1         0
#> 158   20.14      1  74        1         0
#> 124    9.73      1  NA        1         0
#> 69.1  23.23      1  25        0         1
#> 78.1  23.88      1  43        0         0
#> 5     16.43      1  51        0         1
#> 58.1  19.34      1  39        0         0
#> 26.1  15.77      1  49        0         1
#> 105.1 19.75      1  60        0         0
#> 154   12.63      1  20        1         0
#> 68.1  20.62      1  44        0         0
#> 180   14.82      1  37        0         0
#> 100   16.07      1  60        0         0
#> 164   23.60      1  76        0         1
#> 179   18.63      1  42        0         0
#> 66    22.13      1  53        0         0
#> 56    12.21      1  60        0         0
#> 18    15.21      1  49        1         0
#> 39.3  15.59      1  37        0         1
#> 36    21.19      1  48        0         1
#> 63    22.77      1  31        1         0
#> 145.1 10.07      1  65        1         0
#> 194   22.40      1  38        0         1
#> 100.1 16.07      1  60        0         0
#> 86    23.81      1  58        0         1
#> 39.4  15.59      1  37        0         1
#> 69.2  23.23      1  25        0         1
#> 129   23.41      1  53        1         0
#> 136   21.83      1  43        0         1
#> 105.2 19.75      1  60        0         0
#> 63.1  22.77      1  31        1         0
#> 14    12.89      1  21        0         0
#> 145.2 10.07      1  65        1         0
#> 187    9.92      1  39        1         0
#> 8     18.43      1  32        0         0
#> 25     6.32      1  34        1         0
#> 177   12.53      1  75        0         0
#> 106   16.67      1  49        1         0
#> 96    14.54      1  33        0         1
#> 140   12.68      1  59        1         0
#> 77.1   7.27      1  67        0         1
#> 45    17.42      1  54        0         1
#> 130   16.47      1  53        0         1
#> 79    16.23      1  54        1         0
#> 183    9.24      1  67        1         0
#> 140.1 12.68      1  59        1         0
#> 129.1 23.41      1  53        1         0
#> 184   17.77      1  38        0         0
#> 105.3 19.75      1  60        0         0
#> 157   15.10      1  47        0         0
#> 96.1  14.54      1  33        0         1
#> 23    16.92      1  61        0         0
#> 133   14.65      1  57        0         0
#> 171   16.57      1  41        0         1
#> 181   16.46      1  45        0         1
#> 76.1  19.22      1  54        0         1
#> 99    21.19      1  38        0         1
#> 32.1  20.90      1  37        1         0
#> 40    18.00      1  28        1         0
#> 129.2 23.41      1  53        1         0
#> 81    14.06      1  34        0         0
#> 66.1  22.13      1  53        0         0
#> 89.1  11.44      1  NA        0         0
#> 86.1  23.81      1  58        0         1
#> 96.2  14.54      1  33        0         1
#> 159   10.55      1  50        0         1
#> 194.1 22.40      1  38        0         1
#> 134.1 17.81      1  47        1         0
#> 31    24.00      0  36        0         1
#> 142   24.00      0  53        0         0
#> 34    24.00      0  36        0         0
#> 131   24.00      0  66        0         0
#> 152   24.00      0  36        0         1
#> 161   24.00      0  45        0         0
#> 156   24.00      0  50        1         0
#> 156.1 24.00      0  50        1         0
#> 172   24.00      0  41        0         0
#> 2     24.00      0   9        0         0
#> 174   24.00      0  49        1         0
#> 160   24.00      0  31        1         0
#> 27    24.00      0  63        1         0
#> 131.1 24.00      0  66        0         0
#> 118   24.00      0  44        1         0
#> 142.1 24.00      0  53        0         0
#> 160.1 24.00      0  31        1         0
#> 118.1 24.00      0  44        1         0
#> 62    24.00      0  71        0         0
#> 118.2 24.00      0  44        1         0
#> 102   24.00      0  49        0         0
#> 64    24.00      0  43        0         0
#> 151   24.00      0  42        0         0
#> 162   24.00      0  51        0         0
#> 34.1  24.00      0  36        0         0
#> 116   24.00      0  58        0         1
#> 94    24.00      0  51        0         1
#> 148   24.00      0  61        1         0
#> 62.1  24.00      0  71        0         0
#> 118.3 24.00      0  44        1         0
#> 75    24.00      0  21        1         0
#> 163   24.00      0  66        0         0
#> 116.1 24.00      0  58        0         1
#> 27.1  24.00      0  63        1         0
#> 71    24.00      0  51        0         0
#> 165   24.00      0  47        0         0
#> 74    24.00      0  43        0         1
#> 75.1  24.00      0  21        1         0
#> 53    24.00      0  32        0         1
#> 83    24.00      0   6        0         0
#> 109   24.00      0  48        0         0
#> 151.1 24.00      0  42        0         0
#> 22    24.00      0  52        1         0
#> 143   24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 119   24.00      0  17        0         0
#> 146.1 24.00      0  63        1         0
#> 7     24.00      0  37        1         0
#> 67    24.00      0  25        0         0
#> 98    24.00      0  34        1         0
#> 135   24.00      0  58        1         0
#> 141   24.00      0  44        1         0
#> 146.2 24.00      0  63        1         0
#> 146.3 24.00      0  63        1         0
#> 98.1  24.00      0  34        1         0
#> 28    24.00      0  67        1         0
#> 65    24.00      0  57        1         0
#> 7.1   24.00      0  37        1         0
#> 9     24.00      0  31        1         0
#> 141.1 24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 144   24.00      0  28        0         1
#> 182   24.00      0  35        0         0
#> 116.2 24.00      0  58        0         1
#> 84    24.00      0  39        0         1
#> 173   24.00      0  19        0         1
#> 94.1  24.00      0  51        0         1
#> 120   24.00      0  68        0         1
#> 148.1 24.00      0  61        1         0
#> 62.2  24.00      0  71        0         0
#> 193   24.00      0  45        0         1
#> 152.1 24.00      0  36        0         1
#> 109.1 24.00      0  48        0         0
#> 11    24.00      0  42        0         1
#> 152.2 24.00      0  36        0         1
#> 196   24.00      0  19        0         0
#> 74.1  24.00      0  43        0         1
#> 33    24.00      0  53        0         0
#> 186   24.00      0  45        1         0
#> 156.2 24.00      0  50        1         0
#> 48    24.00      0  31        1         0
#> 83.1  24.00      0   6        0         0
#> 67.1  24.00      0  25        0         0
#> 135.1 24.00      0  58        1         0
#> 135.2 24.00      0  58        1         0
#> 75.2  24.00      0  21        1         0
#> 71.1  24.00      0  51        0         0
#> 141.2 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.722         NA        NA      NA
#> 2 age, Cure model           0.0165        NA        NA      NA
#> 3 grade_ii, Cure model     -0.372         NA        NA      NA
#> 4 grade_iii, Cure model     0.853         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00835        NA        NA      NA
#> 2 grade_ii, Survival model   0.298          NA        NA      NA
#> 3 grade_iii, Survival model  0.269          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.72176           0.01654          -0.37190           0.85262  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.8 
#> Residual Deviance: 251.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.72176478       0.01654259      -0.37190058       0.85261986 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.008352158      0.297604632      0.268869092 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.52830915 0.46342961 0.86458128 0.07078093 0.72320486 0.50119858
#>   [7] 0.29217673 0.34290033 0.90623958 0.47320483 0.54596328 0.77076506
#>  [13] 0.91785555 0.61105441 0.85237031 0.57868402 0.80245630 0.96811035
#>  [19] 0.34290033 0.93501420 0.51929829 0.25277040 0.77076506 0.75749661
#>  [25] 0.96811035 0.92932466 0.63463839 0.43328106 0.99474336 0.64241949
#>  [31] 0.59510117 0.77076506 0.36667103 0.95158310 0.92360827 0.97885684
#>  [37] 0.49191530 0.29217673 0.65776656 0.53724486 0.25277040 0.07078093
#>  [43] 0.73020458 0.57868402 0.75749661 0.54596328 0.88855080 0.50119858
#>  [49] 0.82147586 0.74399878 0.18849513 0.61895385 0.40089856 0.90037132
#>  [55] 0.80883822 0.77076506 0.44367870 0.31828930 0.93501420 0.37857183
#>  [61] 0.74399878 0.14228957 0.77076506 0.25277040 0.20923298 0.42255419
#>  [67] 0.54596328 0.31828930 0.87063926 0.93501420 0.95712477 0.62681115
#>  [73] 0.98945328 0.89447806 0.69471125 0.83402598 0.87668918 0.97885684
#>  [79] 0.68005774 0.70909479 0.73713763 0.96263882 0.87668918 0.20923298
#>  [85] 0.67262027 0.54596328 0.81516881 0.83402598 0.68741044 0.82776542
#>  [91] 0.70193407 0.71618128 0.59510117 0.44367870 0.47320483 0.65012479
#>  [97] 0.20923298 0.85848292 0.40089856 0.14228957 0.83402598 0.91206581
#> [103] 0.37857183 0.65776656 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   150    90   123    78    85    68   113    15   107    32   105    39    52 
#> 20.33 20.94 13.00 23.88 16.44 20.62 22.86 22.68 11.18 20.90 19.75 15.59 10.42 
#>    97    13    58   167    16  15.1   145   128    69  39.1    26  16.1    61 
#> 19.14 14.34 19.34 15.55  8.71 22.68 10.07 20.35 23.23 15.59 15.77  8.71 10.12 
#>    88   139   127   108    76  39.2   169   101    93    77   190 113.1   134 
#> 18.37 21.49  3.53 18.29 19.22 15.59 22.41  9.97 10.33  7.27 20.81 22.86 17.81 
#>   158  69.1  78.1     5  58.1  26.1 105.1   154  68.1   180   100   164   179 
#> 20.14 23.23 23.88 16.43 19.34 15.77 19.75 12.63 20.62 14.82 16.07 23.60 18.63 
#>    66    56    18  39.3    36    63 145.1   194 100.1    86  39.4  69.2   129 
#> 22.13 12.21 15.21 15.59 21.19 22.77 10.07 22.40 16.07 23.81 15.59 23.23 23.41 
#>   136 105.2  63.1    14 145.2   187     8    25   177   106    96   140  77.1 
#> 21.83 19.75 22.77 12.89 10.07  9.92 18.43  6.32 12.53 16.67 14.54 12.68  7.27 
#>    45   130    79   183 140.1 129.1   184 105.3   157  96.1    23   133   171 
#> 17.42 16.47 16.23  9.24 12.68 23.41 17.77 19.75 15.10 14.54 16.92 14.65 16.57 
#>   181  76.1    99  32.1    40 129.2    81  66.1  86.1  96.2   159 194.1 134.1 
#> 16.46 19.22 21.19 20.90 18.00 23.41 14.06 22.13 23.81 14.54 10.55 22.40 17.81 
#>    31   142    34   131   152   161   156 156.1   172     2   174   160    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.1   118 142.1 160.1 118.1    62 118.2   102    64   151   162  34.1   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94   148  62.1 118.3    75   163 116.1  27.1    71   165    74  75.1    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83   109 151.1    22   143   146   119 146.1     7    67    98   135   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 146.2 146.3  98.1    28    65   7.1     9 141.1     1   144   182 116.2    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173  94.1   120 148.1  62.2   193 152.1 109.1    11 152.2   196  74.1    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186 156.2    48  83.1  67.1 135.1 135.2  75.2  71.1 141.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[11]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0121588431              0.2628257062              0.0002958544 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.86179766              0.01503535              0.19155221 
#>   grade_iii, Cure model 
#>              0.62341598 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 4     17.64      1  NA        0         1
#> 114   13.68      1  NA        0         0
#> 164   23.60      1  76        0         1
#> 14    12.89      1  21        0         0
#> 113   22.86      1  34        0         0
#> 133   14.65      1  57        0         0
#> 13    14.34      1  54        0         1
#> 37    12.52      1  57        1         0
#> 76    19.22      1  54        0         1
#> 51    18.23      1  83        0         1
#> 13.1  14.34      1  54        0         1
#> 88    18.37      1  47        0         0
#> 155   13.08      1  26        0         0
#> 130   16.47      1  53        0         1
#> 130.1 16.47      1  53        0         1
#> 136   21.83      1  43        0         1
#> 179   18.63      1  42        0         0
#> 70     7.38      1  30        1         0
#> 100   16.07      1  60        0         0
#> 30    17.43      1  78        0         0
#> 117   17.46      1  26        0         1
#> 139   21.49      1  63        1         0
#> 166   19.98      1  48        0         0
#> 79    16.23      1  54        1         0
#> 155.1 13.08      1  26        0         0
#> 127    3.53      1  62        0         1
#> 158   20.14      1  74        1         0
#> 101    9.97      1  10        0         1
#> 79.1  16.23      1  54        1         0
#> 97    19.14      1  65        0         1
#> 51.1  18.23      1  83        0         1
#> 91     5.33      1  61        0         1
#> 23    16.92      1  61        0         0
#> 86    23.81      1  58        0         1
#> 93    10.33      1  52        0         1
#> 124    9.73      1  NA        1         0
#> 136.1 21.83      1  43        0         1
#> 92    22.92      1  47        0         1
#> 113.1 22.86      1  34        0         0
#> 81    14.06      1  34        0         0
#> 125   15.65      1  67        1         0
#> 13.2  14.34      1  54        0         1
#> 136.2 21.83      1  43        0         1
#> 167   15.55      1  56        1         0
#> 108   18.29      1  39        0         1
#> 60    13.15      1  38        1         0
#> 26    15.77      1  49        0         1
#> 60.1  13.15      1  38        1         0
#> 43    12.10      1  61        0         1
#> 51.2  18.23      1  83        0         1
#> 4.1   17.64      1  NA        0         1
#> 8     18.43      1  32        0         0
#> 100.1 16.07      1  60        0         0
#> 129   23.41      1  53        1         0
#> 157   15.10      1  47        0         0
#> 133.1 14.65      1  57        0         0
#> 168   23.72      1  70        0         0
#> 51.3  18.23      1  83        0         1
#> 192   16.44      1  31        1         0
#> 89    11.44      1  NA        0         0
#> 97.1  19.14      1  65        0         1
#> 57    14.46      1  45        0         1
#> 168.1 23.72      1  70        0         0
#> 81.1  14.06      1  34        0         0
#> 114.1 13.68      1  NA        0         0
#> 101.1  9.97      1  10        0         1
#> 37.1  12.52      1  57        1         0
#> 158.1 20.14      1  74        1         0
#> 154   12.63      1  20        1         0
#> 23.1  16.92      1  61        0         0
#> 57.1  14.46      1  45        0         1
#> 190   20.81      1  42        1         0
#> 164.1 23.60      1  76        0         1
#> 58    19.34      1  39        0         0
#> 8.1   18.43      1  32        0         0
#> 32    20.90      1  37        1         0
#> 166.1 19.98      1  48        0         0
#> 97.2  19.14      1  65        0         1
#> 129.1 23.41      1  53        1         0
#> 164.2 23.60      1  76        0         1
#> 136.3 21.83      1  43        0         1
#> 189   10.51      1  NA        1         0
#> 97.3  19.14      1  65        0         1
#> 195   11.76      1  NA        1         0
#> 140   12.68      1  59        1         0
#> 41    18.02      1  40        1         0
#> 145   10.07      1  65        1         0
#> 13.3  14.34      1  54        0         1
#> 63    22.77      1  31        1         0
#> 41.1  18.02      1  40        1         0
#> 190.1 20.81      1  42        1         0
#> 10    10.53      1  34        0         0
#> 187    9.92      1  39        1         0
#> 199   19.81      1  NA        0         1
#> 127.1  3.53      1  62        0         1
#> 93.1  10.33      1  52        0         1
#> 29    15.45      1  68        1         0
#> 125.1 15.65      1  67        1         0
#> 150   20.33      1  48        0         0
#> 88.1  18.37      1  47        0         0
#> 4.2   17.64      1  NA        0         1
#> 145.1 10.07      1  65        1         0
#> 159   10.55      1  50        0         1
#> 81.2  14.06      1  34        0         0
#> 49    12.19      1  48        1         0
#> 69    23.23      1  25        0         1
#> 68    20.62      1  44        0         0
#> 105   19.75      1  60        0         0
#> 59    10.16      1  NA        1         0
#> 188   16.16      1  46        0         1
#> 69.1  23.23      1  25        0         1
#> 96    14.54      1  33        0         1
#> 176   24.00      0  43        0         1
#> 182   24.00      0  35        0         0
#> 54    24.00      0  53        1         0
#> 1     24.00      0  23        1         0
#> 165   24.00      0  47        0         0
#> 71    24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 191   24.00      0  60        0         1
#> 131   24.00      0  66        0         0
#> 141   24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 72    24.00      0  40        0         1
#> 103   24.00      0  56        1         0
#> 143   24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 87    24.00      0  27        0         0
#> 152   24.00      0  36        0         1
#> 144   24.00      0  28        0         1
#> 65    24.00      0  57        1         0
#> 112   24.00      0  61        0         0
#> 162   24.00      0  51        0         0
#> 94    24.00      0  51        0         1
#> 198   24.00      0  66        0         1
#> 121   24.00      0  57        1         0
#> 53    24.00      0  32        0         1
#> 67    24.00      0  25        0         0
#> 160   24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 191.1 24.00      0  60        0         1
#> 162.1 24.00      0  51        0         0
#> 191.2 24.00      0  60        0         1
#> 87.1  24.00      0  27        0         0
#> 11    24.00      0  42        0         1
#> 132   24.00      0  55        0         0
#> 185   24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 147   24.00      0  76        1         0
#> 84.1  24.00      0  39        0         1
#> 163   24.00      0  66        0         0
#> 87.2  24.00      0  27        0         0
#> 142   24.00      0  53        0         0
#> 48    24.00      0  31        1         0
#> 176.1 24.00      0  43        0         1
#> 143.1 24.00      0  51        0         0
#> 9     24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 112.1 24.00      0  61        0         0
#> 143.2 24.00      0  51        0         0
#> 104   24.00      0  50        1         0
#> 165.1 24.00      0  47        0         0
#> 74    24.00      0  43        0         1
#> 172   24.00      0  41        0         0
#> 176.2 24.00      0  43        0         1
#> 193   24.00      0  45        0         1
#> 82    24.00      0  34        0         0
#> 9.1   24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 71.1  24.00      0  51        0         0
#> 131.1 24.00      0  66        0         0
#> 20    24.00      0  46        1         0
#> 71.2  24.00      0  51        0         0
#> 95    24.00      0  68        0         1
#> 178   24.00      0  52        1         0
#> 172.1 24.00      0  41        0         0
#> 161   24.00      0  45        0         0
#> 152.1 24.00      0  36        0         1
#> 35    24.00      0  51        0         0
#> 84.2  24.00      0  39        0         1
#> 196   24.00      0  19        0         0
#> 200   24.00      0  64        0         0
#> 3     24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 31.1  24.00      0  36        0         1
#> 109   24.00      0  48        0         0
#> 22    24.00      0  52        1         0
#> 191.3 24.00      0  60        0         1
#> 34    24.00      0  36        0         0
#> 186   24.00      0  45        1         0
#> 12    24.00      0  63        0         0
#> 28    24.00      0  67        1         0
#> 65.1  24.00      0  57        1         0
#> 185.1 24.00      0  44        1         0
#> 178.1 24.00      0  52        1         0
#> 2     24.00      0   9        0         0
#> 95.1  24.00      0  68        0         1
#> 135   24.00      0  58        1         0
#> 54.1  24.00      0  53        1         0
#> 28.1  24.00      0  67        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.862         NA        NA      NA
#> 2 age, Cure model           0.0150        NA        NA      NA
#> 3 grade_ii, Cure model      0.192         NA        NA      NA
#> 4 grade_iii, Cure model     0.623         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.0122          NA        NA      NA
#> 2 grade_ii, Survival model   0.263           NA        NA      NA
#> 3 grade_iii, Survival model  0.000296        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.86180           0.01504           0.19155           0.62342  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    261.1 
#> Residual Deviance: 254.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.86179766       0.01503535       0.19155221       0.62341598 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0121588431     0.2628257062     0.0002958544 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 2.804439e-03 6.926771e-01 2.617566e-02 4.760248e-01 5.406297e-01
#>   [6] 7.364552e-01 1.292596e-01 2.166454e-01 5.406297e-01 1.907556e-01
#>  [11] 6.640722e-01 3.140551e-01 3.140551e-01 3.895978e-02 1.661973e-01
#>  [16] 9.356220e-01 3.799691e-01 2.829803e-01 2.729742e-01 5.695713e-02
#>  [21] 1.024798e-01 3.465610e-01 6.640722e-01 9.675916e-01 9.024361e-02
#>  [26] 8.883340e-01 3.465610e-01 1.364517e-01 2.166454e-01 9.515365e-01
#>  [31] 2.932079e-01 8.406802e-05 8.262483e-01 3.895978e-02 2.212350e-02
#>  [36] 2.617566e-02 5.941914e-01 4.148829e-01 5.406297e-01 3.895978e-02
#>  [41] 4.388246e-01 2.078006e-01 6.357976e-01 4.030288e-01 6.357976e-01
#>  [46] 7.807240e-01 2.166454e-01 1.743492e-01 3.799691e-01 9.140695e-03
#>  [51] 4.634789e-01 4.760248e-01 6.360677e-04 2.166454e-01 3.355810e-01
#>  [56] 1.364517e-01 5.144339e-01 6.360677e-04 5.941914e-01 8.883340e-01
#>  [61] 7.364552e-01 9.024361e-02 7.218298e-01 2.932079e-01 5.144339e-01
#>  [66] 6.773834e-02 2.804439e-03 1.222552e-01 1.743492e-01 6.230784e-02
#>  [71] 1.024798e-01 1.364517e-01 9.140695e-03 2.804439e-03 3.895978e-02
#>  [76] 1.364517e-01 7.071986e-01 2.535185e-01 8.570607e-01 5.406297e-01
#>  [81] 3.446659e-02 2.535185e-01 6.773834e-02 8.109653e-01 9.197337e-01
#>  [86] 9.675916e-01 8.262483e-01 4.510791e-01 4.148829e-01 8.429750e-02
#>  [91] 1.907556e-01 8.570607e-01 7.957793e-01 5.941914e-01 7.658193e-01
#>  [96] 1.525565e-02 7.853130e-02 1.153992e-01 3.686212e-01 1.525565e-02
#> [101] 5.014472e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>   164    14   113   133    13    37    76    51  13.1    88   155   130 130.1 
#> 23.60 12.89 22.86 14.65 14.34 12.52 19.22 18.23 14.34 18.37 13.08 16.47 16.47 
#>   136   179    70   100    30   117   139   166    79 155.1   127   158   101 
#> 21.83 18.63  7.38 16.07 17.43 17.46 21.49 19.98 16.23 13.08  3.53 20.14  9.97 
#>  79.1    97  51.1    91    23    86    93 136.1    92 113.1    81   125  13.2 
#> 16.23 19.14 18.23  5.33 16.92 23.81 10.33 21.83 22.92 22.86 14.06 15.65 14.34 
#> 136.2   167   108    60    26  60.1    43  51.2     8 100.1   129   157 133.1 
#> 21.83 15.55 18.29 13.15 15.77 13.15 12.10 18.23 18.43 16.07 23.41 15.10 14.65 
#>   168  51.3   192  97.1    57 168.1  81.1 101.1  37.1 158.1   154  23.1  57.1 
#> 23.72 18.23 16.44 19.14 14.46 23.72 14.06  9.97 12.52 20.14 12.63 16.92 14.46 
#>   190 164.1    58   8.1    32 166.1  97.2 129.1 164.2 136.3  97.3   140    41 
#> 20.81 23.60 19.34 18.43 20.90 19.98 19.14 23.41 23.60 21.83 19.14 12.68 18.02 
#>   145  13.3    63  41.1 190.1    10   187 127.1  93.1    29 125.1   150  88.1 
#> 10.07 14.34 22.77 18.02 20.81 10.53  9.92  3.53 10.33 15.45 15.65 20.33 18.37 
#> 145.1   159  81.2    49    69    68   105   188  69.1    96   176   182    54 
#> 10.07 10.55 14.06 12.19 23.23 20.62 19.75 16.16 23.23 14.54 24.00 24.00 24.00 
#>     1   165    71   137   191   131   141    84    72   103   143    83    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152   144    65   112   162    94   198   121    53    67   160   156 191.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 162.1 191.2  87.1    11   132   185    31   147  84.1   163  87.2   142    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 176.1 143.1     9    80 112.1 143.2   104 165.1    74   172 176.2   193    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.1   119  71.1 131.1    20  71.2    95   178 172.1   161 152.1    35  84.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196   200     3   120  31.1   109    22 191.3    34   186    12    28  65.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 185.1 178.1     2  95.1   135  54.1  28.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[12]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002786874               0.639934621               0.151145276 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.353760661             0.008725421            -0.028755588 
#>   grade_iii, Cure model 
#>             0.408264251 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 157   15.10      1  47        0         0
#> 170   19.54      1  43        0         1
#> 189   10.51      1  NA        1         0
#> 133   14.65      1  57        0         0
#> 145   10.07      1  65        1         0
#> 125   15.65      1  67        1         0
#> 190   20.81      1  42        1         0
#> 133.1 14.65      1  57        0         0
#> 108   18.29      1  39        0         1
#> 117   17.46      1  26        0         1
#> 68    20.62      1  44        0         0
#> 189.1 10.51      1  NA        1         0
#> 114   13.68      1  NA        0         0
#> 43    12.10      1  61        0         1
#> 117.1 17.46      1  26        0         1
#> 134   17.81      1  47        1         0
#> 40    18.00      1  28        1         0
#> 113   22.86      1  34        0         0
#> 91     5.33      1  61        0         1
#> 59    10.16      1  NA        1         0
#> 106   16.67      1  49        1         0
#> 183    9.24      1  67        1         0
#> 169   22.41      1  46        0         0
#> 90    20.94      1  50        0         1
#> 4     17.64      1  NA        0         1
#> 40.1  18.00      1  28        1         0
#> 106.1 16.67      1  49        1         0
#> 128   20.35      1  35        0         1
#> 76    19.22      1  54        0         1
#> 194   22.40      1  38        0         1
#> 58    19.34      1  39        0         0
#> 108.1 18.29      1  39        0         1
#> 86    23.81      1  58        0         1
#> 100   16.07      1  60        0         0
#> 139   21.49      1  63        1         0
#> 76.1  19.22      1  54        0         1
#> 127    3.53      1  62        0         1
#> 139.1 21.49      1  63        1         0
#> 106.2 16.67      1  49        1         0
#> 92    22.92      1  47        0         1
#> 197   21.60      1  69        1         0
#> 63    22.77      1  31        1         0
#> 100.1 16.07      1  60        0         0
#> 106.3 16.67      1  49        1         0
#> 58.1  19.34      1  39        0         0
#> 155   13.08      1  26        0         0
#> 150   20.33      1  48        0         0
#> 113.1 22.86      1  34        0         0
#> 168   23.72      1  70        0         0
#> 79    16.23      1  54        1         0
#> 45    17.42      1  54        0         1
#> 59.1  10.16      1  NA        1         0
#> 90.1  20.94      1  50        0         1
#> 99    21.19      1  38        0         1
#> 66    22.13      1  53        0         0
#> 39    15.59      1  37        0         1
#> 70     7.38      1  30        1         0
#> 179   18.63      1  42        0         0
#> 177   12.53      1  75        0         0
#> 86.1  23.81      1  58        0         1
#> 107   11.18      1  54        1         0
#> 24    23.89      1  38        0         0
#> 10    10.53      1  34        0         0
#> 6     15.64      1  39        0         0
#> 66.1  22.13      1  53        0         0
#> 133.2 14.65      1  57        0         0
#> 13    14.34      1  54        0         1
#> 187    9.92      1  39        1         0
#> 79.1  16.23      1  54        1         0
#> 136   21.83      1  43        0         1
#> 79.2  16.23      1  54        1         0
#> 180   14.82      1  37        0         0
#> 43.1  12.10      1  61        0         1
#> 169.1 22.41      1  46        0         0
#> 5     16.43      1  51        0         1
#> 164   23.60      1  76        0         1
#> 15    22.68      1  48        0         0
#> 59.2  10.16      1  NA        1         0
#> 129   23.41      1  53        1         0
#> 93    10.33      1  52        0         1
#> 180.1 14.82      1  37        0         0
#> 8     18.43      1  32        0         0
#> 108.2 18.29      1  39        0         1
#> 49    12.19      1  48        1         0
#> 5.1   16.43      1  51        0         1
#> 136.1 21.83      1  43        0         1
#> 150.1 20.33      1  48        0         0
#> 189.2 10.51      1  NA        1         0
#> 180.2 14.82      1  37        0         0
#> 134.1 17.81      1  47        1         0
#> 183.1  9.24      1  67        1         0
#> 155.1 13.08      1  26        0         0
#> 32    20.90      1  37        1         0
#> 155.2 13.08      1  26        0         0
#> 15.1  22.68      1  48        0         0
#> 30    17.43      1  78        0         0
#> 136.2 21.83      1  43        0         1
#> 123   13.00      1  44        1         0
#> 60    13.15      1  38        1         0
#> 166   19.98      1  48        0         0
#> 127.1  3.53      1  62        0         1
#> 199   19.81      1  NA        0         1
#> 181   16.46      1  45        0         1
#> 41    18.02      1  40        1         0
#> 36    21.19      1  48        0         1
#> 4.1   17.64      1  NA        0         1
#> 134.2 17.81      1  47        1         0
#> 99.1  21.19      1  38        0         1
#> 168.1 23.72      1  70        0         0
#> 29    15.45      1  68        1         0
#> 78    23.88      1  43        0         0
#> 99.2  21.19      1  38        0         1
#> 53    24.00      0  32        0         1
#> 141   24.00      0  44        1         0
#> 116   24.00      0  58        0         1
#> 73    24.00      0  NA        0         1
#> 104   24.00      0  50        1         0
#> 65    24.00      0  57        1         0
#> 186   24.00      0  45        1         0
#> 35    24.00      0  51        0         0
#> 198   24.00      0  66        0         1
#> 1     24.00      0  23        1         0
#> 38    24.00      0  31        1         0
#> 73.1  24.00      0  NA        0         1
#> 64    24.00      0  43        0         0
#> 172   24.00      0  41        0         0
#> 22    24.00      0  52        1         0
#> 33    24.00      0  53        0         0
#> 148   24.00      0  61        1         0
#> 132   24.00      0  55        0         0
#> 118   24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 62    24.00      0  71        0         0
#> 144   24.00      0  28        0         1
#> 165   24.00      0  47        0         0
#> 46    24.00      0  71        0         0
#> 160   24.00      0  31        1         0
#> 146   24.00      0  63        1         0
#> 172.1 24.00      0  41        0         0
#> 17    24.00      0  38        0         1
#> 94    24.00      0  51        0         1
#> 132.1 24.00      0  55        0         0
#> 161   24.00      0  45        0         0
#> 98    24.00      0  34        1         0
#> 53.1  24.00      0  32        0         1
#> 21    24.00      0  47        0         0
#> 151   24.00      0  42        0         0
#> 193   24.00      0  45        0         1
#> 162   24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 141.1 24.00      0  44        1         0
#> 135   24.00      0  58        1         0
#> 34    24.00      0  36        0         0
#> 144.1 24.00      0  28        0         1
#> 54    24.00      0  53        1         0
#> 83    24.00      0   6        0         0
#> 38.1  24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 33.1  24.00      0  53        0         0
#> 178   24.00      0  52        1         0
#> 53.2  24.00      0  32        0         1
#> 118.1 24.00      0  44        1         0
#> 116.1 24.00      0  58        0         1
#> 198.1 24.00      0  66        0         1
#> 163.1 24.00      0  66        0         0
#> 95    24.00      0  68        0         1
#> 53.3  24.00      0  32        0         1
#> 48    24.00      0  31        1         0
#> 146.1 24.00      0  63        1         0
#> 109   24.00      0  48        0         0
#> 54.1  24.00      0  53        1         0
#> 22.1  24.00      0  52        1         0
#> 142   24.00      0  53        0         0
#> 142.1 24.00      0  53        0         0
#> 116.2 24.00      0  58        0         1
#> 186.1 24.00      0  45        1         0
#> 148.1 24.00      0  61        1         0
#> 53.4  24.00      0  32        0         1
#> 1.1   24.00      0  23        1         0
#> 71    24.00      0  51        0         0
#> 95.1  24.00      0  68        0         1
#> 35.1  24.00      0  51        0         0
#> 87    24.00      0  27        0         0
#> 65.1  24.00      0  57        1         0
#> 47    24.00      0  38        0         1
#> 7     24.00      0  37        1         0
#> 182   24.00      0  35        0         0
#> 95.2  24.00      0  68        0         1
#> 83.1  24.00      0   6        0         0
#> 38.2  24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 200   24.00      0  64        0         0
#> 34.1  24.00      0  36        0         0
#> 62.1  24.00      0  71        0         0
#> 172.2 24.00      0  41        0         0
#> 11    24.00      0  42        0         1
#> 182.1 24.00      0  35        0         0
#> 132.2 24.00      0  55        0         0
#> 38.3  24.00      0  31        1         0
#> 53.5  24.00      0  32        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.354          NA        NA      NA
#> 2 age, Cure model          0.00873        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0288         NA        NA      NA
#> 4 grade_iii, Cure model    0.408          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00279        NA        NA      NA
#> 2 grade_ii, Survival model   0.640          NA        NA      NA
#> 3 grade_iii, Survival model  0.151          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.353761          0.008725         -0.028756          0.408264  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.3 
#> Residual Deviance: 257 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.353760661      0.008725421     -0.028755588      0.408264251 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002786874      0.639934621      0.151145276 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.758334406 0.420639251 0.793200639 0.932492220 0.723129853 0.360167144
#>   [7] 0.793200639 0.491680731 0.579083418 0.370236173 0.889276569 0.579083418
#>  [13] 0.551198323 0.531791063 0.112173111 0.974863790 0.616676139 0.949630555
#>  [19] 0.168009063 0.329245811 0.531791063 0.616676139 0.380336918 0.451003053
#>  [25] 0.190266369 0.430808133 0.491680731 0.030744942 0.705494421 0.268323904
#>  [31] 0.451003053 0.983264416 0.268323904 0.616676139 0.100387696 0.257149088
#>  [37] 0.134929341 0.705494421 0.616676139 0.430808133 0.837029768 0.390422929
#>  [43] 0.112173111 0.052291555 0.679307467 0.607226362 0.329245811 0.289203174
#>  [49] 0.201709309 0.740761126 0.966464515 0.471197533 0.871847884 0.030744942
#>  [55] 0.906569881 0.005779312 0.915205913 0.731940021 0.201709309 0.793200639
#>  [61] 0.819423884 0.941088738 0.679307467 0.224290071 0.679307467 0.767104180
#>  [67] 0.889276569 0.168009063 0.661294160 0.075674108 0.146104597 0.088575675
#>  [73] 0.923849319 0.767104180 0.481429834 0.491680731 0.880590637 0.661294160
#>  [79] 0.224290071 0.390422929 0.767104180 0.551198323 0.949630555 0.837029768
#>  [85] 0.349901006 0.837029768 0.146104597 0.597776492 0.224290071 0.863121637
#>  [91] 0.828259842 0.410462556 0.983264416 0.652223085 0.521717531 0.289203174
#>  [97] 0.551198323 0.289203174 0.052291555 0.749577067 0.017566555 0.289203174
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000
#> 
#> $Time
#>   157   170   133   145   125   190 133.1   108   117    68    43 117.1   134 
#> 15.10 19.54 14.65 10.07 15.65 20.81 14.65 18.29 17.46 20.62 12.10 17.46 17.81 
#>    40   113    91   106   183   169    90  40.1 106.1   128    76   194    58 
#> 18.00 22.86  5.33 16.67  9.24 22.41 20.94 18.00 16.67 20.35 19.22 22.40 19.34 
#> 108.1    86   100   139  76.1   127 139.1 106.2    92   197    63 100.1 106.3 
#> 18.29 23.81 16.07 21.49 19.22  3.53 21.49 16.67 22.92 21.60 22.77 16.07 16.67 
#>  58.1   155   150 113.1   168    79    45  90.1    99    66    39    70   179 
#> 19.34 13.08 20.33 22.86 23.72 16.23 17.42 20.94 21.19 22.13 15.59  7.38 18.63 
#>   177  86.1   107    24    10     6  66.1 133.2    13   187  79.1   136  79.2 
#> 12.53 23.81 11.18 23.89 10.53 15.64 22.13 14.65 14.34  9.92 16.23 21.83 16.23 
#>   180  43.1 169.1     5   164    15   129    93 180.1     8 108.2    49   5.1 
#> 14.82 12.10 22.41 16.43 23.60 22.68 23.41 10.33 14.82 18.43 18.29 12.19 16.43 
#> 136.1 150.1 180.2 134.1 183.1 155.1    32 155.2  15.1    30 136.2   123    60 
#> 21.83 20.33 14.82 17.81  9.24 13.08 20.90 13.08 22.68 17.43 21.83 13.00 13.15 
#>   166 127.1   181    41    36 134.2  99.1 168.1    29    78  99.2    53   141 
#> 19.98  3.53 16.46 18.02 21.19 17.81 21.19 23.72 15.45 23.88 21.19 24.00 24.00 
#>   116   104    65   186    35   198     1    38    64   172    22    33   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   132   118   163    62   144   165    46   160   146 172.1    17    94 132.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161    98  53.1    21   151   193   162    27 141.1   135    34 144.1    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83  38.1    44  33.1   178  53.2 118.1 116.1 198.1 163.1    95  53.3    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 146.1   109  54.1  22.1   142 142.1 116.2 186.1 148.1  53.4   1.1    71  95.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  35.1    87  65.1    47     7   182  95.2  83.1  38.2    72   200  34.1  62.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.2    11 182.1 132.2  38.3  53.5 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[13]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.02021353                1.04554466                0.52526292 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.89332230              0.01444614              0.19457562 
#>   grade_iii, Cure model 
#>              0.83593362 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 194   22.40      1  38        0         1
#> 123   13.00      1  44        1         0
#> 89    11.44      1  NA        0         0
#> 91     5.33      1  61        0         1
#> 57    14.46      1  45        0         1
#> 49    12.19      1  48        1         0
#> 42    12.43      1  49        0         1
#> 129   23.41      1  53        1         0
#> 93    10.33      1  52        0         1
#> 197   21.60      1  69        1         0
#> 89.1  11.44      1  NA        0         0
#> 24    23.89      1  38        0         0
#> 25     6.32      1  34        1         0
#> 81    14.06      1  34        0         0
#> 177   12.53      1  75        0         0
#> 187    9.92      1  39        1         0
#> 107   11.18      1  54        1         0
#> 90    20.94      1  50        0         1
#> 197.1 21.60      1  69        1         0
#> 4     17.64      1  NA        0         1
#> 14    12.89      1  21        0         0
#> 154   12.63      1  20        1         0
#> 25.1   6.32      1  34        1         0
#> 197.2 21.60      1  69        1         0
#> 37    12.52      1  57        1         0
#> 92    22.92      1  47        0         1
#> 58    19.34      1  39        0         0
#> 153   21.33      1  55        1         0
#> 164   23.60      1  76        0         1
#> 145   10.07      1  65        1         0
#> 42.1  12.43      1  49        0         1
#> 97    19.14      1  65        0         1
#> 79    16.23      1  54        1         0
#> 145.1 10.07      1  65        1         0
#> 85    16.44      1  36        0         0
#> 123.1 13.00      1  44        1         0
#> 183    9.24      1  67        1         0
#> 51    18.23      1  83        0         1
#> 125   15.65      1  67        1         0
#> 195   11.76      1  NA        1         0
#> 60    13.15      1  38        1         0
#> 97.1  19.14      1  65        0         1
#> 10    10.53      1  34        0         0
#> 105   19.75      1  60        0         0
#> 6     15.64      1  39        0         0
#> 114   13.68      1  NA        0         0
#> 194.1 22.40      1  38        0         1
#> 184   17.77      1  38        0         0
#> 49.1  12.19      1  48        1         0
#> 129.1 23.41      1  53        1         0
#> 114.1 13.68      1  NA        0         0
#> 76    19.22      1  54        0         1
#> 52    10.42      1  52        0         1
#> 89.2  11.44      1  NA        0         0
#> 108   18.29      1  39        0         1
#> 77     7.27      1  67        0         1
#> 195.1 11.76      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 100   16.07      1  60        0         0
#> 125.1 15.65      1  67        1         0
#> 145.2 10.07      1  65        1         0
#> 99    21.19      1  38        0         1
#> 194.2 22.40      1  38        0         1
#> 199   19.81      1  NA        0         1
#> 70     7.38      1  30        1         0
#> 14.1  12.89      1  21        0         0
#> 179   18.63      1  42        0         0
#> 127    3.53      1  62        0         1
#> 25.2   6.32      1  34        1         0
#> 23    16.92      1  61        0         0
#> 195.2 11.76      1  NA        1         0
#> 130.1 16.47      1  53        0         1
#> 139   21.49      1  63        1         0
#> 86    23.81      1  58        0         1
#> 24.1  23.89      1  38        0         0
#> 68    20.62      1  44        0         0
#> 45    17.42      1  54        0         1
#> 39    15.59      1  37        0         1
#> 51.1  18.23      1  83        0         1
#> 175   21.91      1  43        0         0
#> 26    15.77      1  49        0         1
#> 91.1   5.33      1  61        0         1
#> 107.1 11.18      1  54        1         0
#> 181   16.46      1  45        0         1
#> 66    22.13      1  53        0         0
#> 199.1 19.81      1  NA        0         1
#> 8     18.43      1  32        0         0
#> 150   20.33      1  48        0         0
#> 168   23.72      1  70        0         0
#> 42.2  12.43      1  49        0         1
#> 168.1 23.72      1  70        0         0
#> 5     16.43      1  51        0         1
#> 101    9.97      1  10        0         1
#> 128   20.35      1  35        0         1
#> 13    14.34      1  54        0         1
#> 169   22.41      1  46        0         0
#> 169.1 22.41      1  46        0         0
#> 85.1  16.44      1  36        0         0
#> 136   21.83      1  43        0         1
#> 91.2   5.33      1  61        0         1
#> 68.1  20.62      1  44        0         0
#> 14.2  12.89      1  21        0         0
#> 59    10.16      1  NA        1         0
#> 25.3   6.32      1  34        1         0
#> 85.2  16.44      1  36        0         0
#> 179.1 18.63      1  42        0         0
#> 39.1  15.59      1  37        0         1
#> 50    10.02      1  NA        1         0
#> 124    9.73      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 123.2 13.00      1  44        1         0
#> 76.1  19.22      1  54        0         1
#> 35    24.00      0  51        0         0
#> 193   24.00      0  45        0         1
#> 104   24.00      0  50        1         0
#> 9     24.00      0  31        1         0
#> 83    24.00      0   6        0         0
#> 95    24.00      0  68        0         1
#> 162   24.00      0  51        0         0
#> 82    24.00      0  34        0         0
#> 174   24.00      0  49        1         0
#> 94    24.00      0  51        0         1
#> 141   24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 12    24.00      0  63        0         0
#> 112   24.00      0  61        0         0
#> 138   24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 148   24.00      0  61        1         0
#> 121   24.00      0  57        1         0
#> 151   24.00      0  42        0         0
#> 121.1 24.00      0  57        1         0
#> 120   24.00      0  68        0         1
#> 173.1 24.00      0  19        0         1
#> 161   24.00      0  45        0         0
#> 152   24.00      0  36        0         1
#> 53    24.00      0  32        0         1
#> 104.1 24.00      0  50        1         0
#> 126   24.00      0  48        0         0
#> 48    24.00      0  31        1         0
#> 163   24.00      0  66        0         0
#> 119   24.00      0  17        0         0
#> 146   24.00      0  63        1         0
#> 3     24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 135   24.00      0  58        1         0
#> 33    24.00      0  53        0         0
#> 176   24.00      0  43        0         1
#> 200   24.00      0  64        0         0
#> 7     24.00      0  37        1         0
#> 67    24.00      0  25        0         0
#> 121.2 24.00      0  57        1         0
#> 174.1 24.00      0  49        1         0
#> 141.1 24.00      0  44        1         0
#> 182   24.00      0  35        0         0
#> 122   24.00      0  66        0         0
#> 174.2 24.00      0  49        1         0
#> 21    24.00      0  47        0         0
#> 198   24.00      0  66        0         1
#> 200.1 24.00      0  64        0         0
#> 62.1  24.00      0  71        0         0
#> 141.2 24.00      0  44        1         0
#> 9.1   24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 122.1 24.00      0  66        0         0
#> 165   24.00      0  47        0         0
#> 102   24.00      0  49        0         0
#> 82.1  24.00      0  34        0         0
#> 48.1  24.00      0  31        1         0
#> 112.1 24.00      0  61        0         0
#> 20    24.00      0  46        1         0
#> 143   24.00      0  51        0         0
#> 147   24.00      0  76        1         0
#> 98    24.00      0  34        1         0
#> 3.1   24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 17    24.00      0  38        0         1
#> 112.2 24.00      0  61        0         0
#> 83.1  24.00      0   6        0         0
#> 53.1  24.00      0  32        0         1
#> 172   24.00      0  41        0         0
#> 102.1 24.00      0  49        0         0
#> 94.1  24.00      0  51        0         1
#> 193.1 24.00      0  45        0         1
#> 17.1  24.00      0  38        0         1
#> 62.2  24.00      0  71        0         0
#> 35.1  24.00      0  51        0         0
#> 146.1 24.00      0  63        1         0
#> 9.2   24.00      0  31        1         0
#> 82.2  24.00      0  34        0         0
#> 186   24.00      0  45        1         0
#> 119.1 24.00      0  17        0         0
#> 156   24.00      0  50        1         0
#> 131   24.00      0  66        0         0
#> 74.1  24.00      0  43        0         1
#> 67.1  24.00      0  25        0         0
#> 151.1 24.00      0  42        0         0
#> 2     24.00      0   9        0         0
#> 95.1  24.00      0  68        0         1
#> 47    24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.893         NA        NA      NA
#> 2 age, Cure model           0.0144        NA        NA      NA
#> 3 grade_ii, Cure model      0.195         NA        NA      NA
#> 4 grade_iii, Cure model     0.836         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0202        NA        NA      NA
#> 2 grade_ii, Survival model    1.05          NA        NA      NA
#> 3 grade_iii, Survival model   0.525         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.89332           0.01445           0.19458           0.83593  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    257.3 
#> Residual Deviance: 249.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.89332230       0.01444614       0.19457562       0.83593362 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.02021353       1.04554466       0.52526292 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.0304844840 0.5083727713 0.9425281804 0.4535283919 0.6716610743
#>   [6] 0.6299700245 0.0092450954 0.7564234123 0.0601729425 0.0001239809
#>  [11] 0.8870865629 0.4807302055 0.6022697741 0.8288910420 0.6996594898
#>  [16] 0.0962194959 0.0601729425 0.5480167435 0.5886790361 0.8870865629
#>  [21] 0.0601729425 0.6161041485 0.0148005033 0.1387804030 0.0835165515
#>  [26] 0.0059865338 0.7709508892 0.6299700245 0.1629699178 0.3505481882
#>  [31] 0.7709508892 0.3031166740 0.5083727713 0.8434235440 0.2174002358
#>  [36] 0.3883065288 0.4946132139 0.1629699178 0.7277084965 0.1310619944
#>  [41] 0.4139131496 0.0304844840 0.2373736359 0.6716610743 0.0092450954
#>  [46] 0.1467403107 0.7420091490 0.2077919708 0.8724865206 0.2694222365
#>  [51] 0.3628798141 0.3883065288 0.7709508892 0.0898195335 0.0304844840
#>  [56] 0.8580228739 0.5480167435 0.1801326038 0.9853894374 0.8870865629
#>  [61] 0.2584615256 0.2694222365 0.0772441020 0.0010704400 0.0001239809
#>  [66] 0.1027875615 0.2478205893 0.4271477031 0.2174002358 0.0487804712
#>  [71] 0.3755131051 0.9425281804 0.6996594898 0.2916436033 0.0435225728
#>  [76] 0.1982854437 0.1236503125 0.0021320745 0.6299700245 0.0021320745
#>  [81] 0.3382360712 0.8142834257 0.1165046660 0.4670436705 0.0219299953
#>  [86] 0.0219299953 0.3031166740 0.0543897289 0.9425281804 0.1027875615
#>  [91] 0.5480167435 0.8870865629 0.3031166740 0.1801326038 0.4271477031
#>  [96] 0.0181482142 0.5083727713 0.1467403107 0.0000000000 0.0000000000
#> [101] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000
#> 
#> $Time
#>   194   123    91    57    49    42   129    93   197    24    25    81   177 
#> 22.40 13.00  5.33 14.46 12.19 12.43 23.41 10.33 21.60 23.89  6.32 14.06 12.53 
#>   187   107    90 197.1    14   154  25.1 197.2    37    92    58   153   164 
#>  9.92 11.18 20.94 21.60 12.89 12.63  6.32 21.60 12.52 22.92 19.34 21.33 23.60 
#>   145  42.1    97    79 145.1    85 123.1   183    51   125    60  97.1    10 
#> 10.07 12.43 19.14 16.23 10.07 16.44 13.00  9.24 18.23 15.65 13.15 19.14 10.53 
#>   105     6 194.1   184  49.1 129.1    76    52   108    77   130   100 125.1 
#> 19.75 15.64 22.40 17.77 12.19 23.41 19.22 10.42 18.29  7.27 16.47 16.07 15.65 
#> 145.2    99 194.2    70  14.1   179   127  25.2    23 130.1   139    86  24.1 
#> 10.07 21.19 22.40  7.38 12.89 18.63  3.53  6.32 16.92 16.47 21.49 23.81 23.89 
#>    68    45    39  51.1   175    26  91.1 107.1   181    66     8   150   168 
#> 20.62 17.42 15.59 18.23 21.91 15.77  5.33 11.18 16.46 22.13 18.43 20.33 23.72 
#>  42.2 168.1     5   101   128    13   169 169.1  85.1   136  91.2  68.1  14.2 
#> 12.43 23.72 16.43  9.97 20.35 14.34 22.41 22.41 16.44 21.83  5.33 20.62 12.89 
#>  25.3  85.2 179.1  39.1    15 123.2  76.1    35   193   104     9    83    95 
#>  6.32 16.44 18.63 15.59 22.68 13.00 19.22 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162    82   174    94   141    31    12   112   138   173   148   121   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 121.1   120 173.1   161   152    53 104.1   126    48   163   119   146     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62   135    33   176   200     7    67 121.2 174.1 141.1   182   122 174.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21   198 200.1  62.1 141.2   9.1    74 122.1   165   102  82.1  48.1 112.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20   143   147    98   3.1    75    17 112.2  83.1  53.1   172 102.1  94.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.1  17.1  62.2  35.1 146.1   9.2  82.2   186 119.1   156   131  74.1  67.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 151.1     2  95.1    47 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[14]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002156184               0.756444498               0.252567593 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.19872889              0.00442292             -0.10302469 
#>   grade_iii, Cure model 
#>              0.79922017 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 113   22.86      1  34        0         0
#> 89    11.44      1  NA        0         0
#> 92    22.92      1  47        0         1
#> 179   18.63      1  42        0         0
#> 39    15.59      1  37        0         1
#> 18    15.21      1  49        1         0
#> 26    15.77      1  49        0         1
#> 66    22.13      1  53        0         0
#> 179.1 18.63      1  42        0         0
#> 81    14.06      1  34        0         0
#> 157   15.10      1  47        0         0
#> 59    10.16      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 32    20.90      1  37        1         0
#> 51    18.23      1  83        0         1
#> 14    12.89      1  21        0         0
#> 189   10.51      1  NA        1         0
#> 140   12.68      1  59        1         0
#> 149    8.37      1  33        1         0
#> 127    3.53      1  62        0         1
#> 107   11.18      1  54        1         0
#> 6     15.64      1  39        0         0
#> 85    16.44      1  36        0         0
#> 128   20.35      1  35        0         1
#> 159   10.55      1  50        0         1
#> 181   16.46      1  45        0         1
#> 164   23.60      1  76        0         1
#> 10    10.53      1  34        0         0
#> 145   10.07      1  65        1         0
#> 175   21.91      1  43        0         0
#> 139   21.49      1  63        1         0
#> 78    23.88      1  43        0         0
#> 139.1 21.49      1  63        1         0
#> 113.1 22.86      1  34        0         0
#> 69    23.23      1  25        0         1
#> 6.1   15.64      1  39        0         0
#> 18.1  15.21      1  49        1         0
#> 106   16.67      1  49        1         0
#> 6.2   15.64      1  39        0         0
#> 192   16.44      1  31        1         0
#> 150   20.33      1  48        0         0
#> 77     7.27      1  67        0         1
#> 68    20.62      1  44        0         0
#> 78.1  23.88      1  43        0         0
#> 56    12.21      1  60        0         0
#> 58    19.34      1  39        0         0
#> 130   16.47      1  53        0         1
#> 114   13.68      1  NA        0         0
#> 86    23.81      1  58        0         1
#> 39.1  15.59      1  37        0         1
#> 189.1 10.51      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 58.1  19.34      1  39        0         0
#> 25     6.32      1  34        1         0
#> 86.1  23.81      1  58        0         1
#> 42    12.43      1  49        0         1
#> 106.1 16.67      1  49        1         0
#> 123   13.00      1  44        1         0
#> 15    22.68      1  48        0         0
#> 123.1 13.00      1  44        1         0
#> 140.1 12.68      1  59        1         0
#> 69.1  23.23      1  25        0         1
#> 4     17.64      1  NA        0         1
#> 37    12.52      1  57        1         0
#> 153   21.33      1  55        1         0
#> 170   19.54      1  43        0         1
#> 190   20.81      1  42        1         0
#> 124    9.73      1  NA        1         0
#> 90.1  20.94      1  50        0         1
#> 59.1  10.16      1  NA        1         0
#> 56.1  12.21      1  60        0         0
#> 111.1 17.45      1  47        0         1
#> 16     8.71      1  71        0         1
#> 106.2 16.67      1  49        1         0
#> 85.1  16.44      1  36        0         0
#> 66.1  22.13      1  53        0         0
#> 14.1  12.89      1  21        0         0
#> 117   17.46      1  26        0         1
#> 157.1 15.10      1  47        0         0
#> 110   17.56      1  65        0         1
#> 88    18.37      1  47        0         0
#> 41    18.02      1  40        1         0
#> 139.2 21.49      1  63        1         0
#> 97    19.14      1  65        0         1
#> 37.1  12.52      1  57        1         0
#> 50    10.02      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 124.1  9.73      1  NA        1         0
#> 158   20.14      1  74        1         0
#> 91     5.33      1  61        0         1
#> 93    10.33      1  52        0         1
#> 107.1 11.18      1  54        1         0
#> 99    21.19      1  38        0         1
#> 58.2  19.34      1  39        0         0
#> 45    17.42      1  54        0         1
#> 179.2 18.63      1  42        0         0
#> 30    17.43      1  78        0         0
#> 45.1  17.42      1  54        0         1
#> 40    18.00      1  28        1         0
#> 167   15.55      1  56        1         0
#> 189.2 10.51      1  NA        1         0
#> 197   21.60      1  69        1         0
#> 167.1 15.55      1  56        1         0
#> 96    14.54      1  33        0         1
#> 113.2 22.86      1  34        0         0
#> 37.2  12.52      1  57        1         0
#> 50.1  10.02      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 40.1  18.00      1  28        1         0
#> 24    23.89      1  38        0         0
#> 29    15.45      1  68        1         0
#> 100   16.07      1  60        0         0
#> 64    24.00      0  43        0         0
#> 121   24.00      0  57        1         0
#> 141   24.00      0  44        1         0
#> 9     24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 200   24.00      0  64        0         0
#> 2     24.00      0   9        0         0
#> 95    24.00      0  68        0         1
#> 151   24.00      0  42        0         0
#> 121.1 24.00      0  57        1         0
#> 178   24.00      0  52        1         0
#> 102   24.00      0  49        0         0
#> 33    24.00      0  53        0         0
#> 160   24.00      0  31        1         0
#> 178.1 24.00      0  52        1         0
#> 185   24.00      0  44        1         0
#> 67    24.00      0  25        0         0
#> 31    24.00      0  36        0         1
#> 75    24.00      0  21        1         0
#> 162   24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 137   24.00      0  45        1         0
#> 47    24.00      0  38        0         1
#> 112   24.00      0  61        0         0
#> 17    24.00      0  38        0         1
#> 12    24.00      0  63        0         0
#> 46    24.00      0  71        0         0
#> 160.1 24.00      0  31        1         0
#> 151.1 24.00      0  42        0         0
#> 1     24.00      0  23        1         0
#> 73.1  24.00      0  NA        0         1
#> 19    24.00      0  57        0         1
#> 102.1 24.00      0  49        0         0
#> 1.1   24.00      0  23        1         0
#> 12.1  24.00      0  63        0         0
#> 147   24.00      0  76        1         0
#> 147.1 24.00      0  76        1         0
#> 182   24.00      0  35        0         0
#> 146   24.00      0  63        1         0
#> 67.1  24.00      0  25        0         0
#> 71    24.00      0  51        0         0
#> 7     24.00      0  37        1         0
#> 151.2 24.00      0  42        0         0
#> 122   24.00      0  66        0         0
#> 1.2   24.00      0  23        1         0
#> 75.1  24.00      0  21        1         0
#> 162.1 24.00      0  51        0         0
#> 75.2  24.00      0  21        1         0
#> 186   24.00      0  45        1         0
#> 80    24.00      0  41        0         0
#> 84.1  24.00      0  39        0         1
#> 73.2  24.00      0  NA        0         1
#> 12.2  24.00      0  63        0         0
#> 95.1  24.00      0  68        0         1
#> 143   24.00      0  51        0         0
#> 28    24.00      0  67        1         0
#> 196   24.00      0  19        0         0
#> 120   24.00      0  68        0         1
#> 172   24.00      0  41        0         0
#> 174   24.00      0  49        1         0
#> 151.3 24.00      0  42        0         0
#> 147.2 24.00      0  76        1         0
#> 126   24.00      0  48        0         0
#> 182.1 24.00      0  35        0         0
#> 22    24.00      0  52        1         0
#> 146.1 24.00      0  63        1         0
#> 3     24.00      0  31        1         0
#> 126.1 24.00      0  48        0         0
#> 95.2  24.00      0  68        0         1
#> 151.4 24.00      0  42        0         0
#> 160.2 24.00      0  31        1         0
#> 1.3   24.00      0  23        1         0
#> 104   24.00      0  50        1         0
#> 138   24.00      0  44        1         0
#> 198   24.00      0  66        0         1
#> 38    24.00      0  31        1         0
#> 126.2 24.00      0  48        0         0
#> 191   24.00      0  60        0         1
#> 146.2 24.00      0  63        1         0
#> 116   24.00      0  58        0         1
#> 200.1 24.00      0  64        0         0
#> 27    24.00      0  63        1         0
#> 165   24.00      0  47        0         0
#> 148   24.00      0  61        1         0
#> 126.3 24.00      0  48        0         0
#> 83    24.00      0   6        0         0
#> 71.1  24.00      0  51        0         0
#> 193   24.00      0  45        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.199          NA        NA      NA
#> 2 age, Cure model          0.00442        NA        NA      NA
#> 3 grade_ii, Cure model    -0.103          NA        NA      NA
#> 4 grade_iii, Cure model    0.799          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00216        NA        NA      NA
#> 2 grade_ii, Survival model   0.756          NA        NA      NA
#> 3 grade_iii, Survival model  0.253          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.198729          0.004423         -0.103025          0.799220  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.2 
#> Residual Deviance: 248.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.19872889       0.00442292      -0.10302469       0.79922017 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002156184      0.756444498      0.252567593 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.150059915 0.136516070 0.455080399 0.716311218 0.759938169 0.680906501
#>   [7] 0.201484355 0.455080399 0.802026291 0.776741458 0.311105138 0.332728983
#>  [13] 0.495159642 0.826975299 0.843486178 0.961745284 0.992384458 0.907150633
#>  [19] 0.689823280 0.645562235 0.364108328 0.922752610 0.636531121 0.095619028
#>  [25] 0.930576509 0.946223778 0.228231090 0.255326646 0.026119591 0.255326646
#>  [31] 0.150059915 0.110373148 0.689823280 0.759938169 0.600653593 0.689823280
#>  [37] 0.645562235 0.374428228 0.969441629 0.353731467 0.026119591 0.891304338
#>  [43] 0.415172446 0.627478396 0.054135263 0.716311218 0.553507080 0.415172446
#>  [49] 0.977131006 0.054135263 0.883362872 0.600653593 0.810479010 0.187840257
#>  [55] 0.810479010 0.843486178 0.110373148 0.859718680 0.288769944 0.405059116
#>  [61] 0.343382105 0.311105138 0.891304338 0.553507080 0.953987833 0.600653593
#>  [67] 0.645562235 0.201484355 0.826975299 0.543955809 0.776741458 0.534367986
#>  [73] 0.484965421 0.505337865 0.255326646 0.444951485 0.859718680 0.394901843
#>  [79] 0.384776187 0.984761532 0.938405061 0.907150633 0.299976188 0.415172446
#>  [85] 0.581859199 0.455080399 0.572339685 0.581859199 0.515324092 0.733997775
#>  [91] 0.242095470 0.733997775 0.793579865 0.150059915 0.859718680 0.080655892
#>  [97] 0.515324092 0.008822457 0.751313711 0.671971207 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   113    92   179    39    18    26    66 179.1    81   157    90    32    51 
#> 22.86 22.92 18.63 15.59 15.21 15.77 22.13 18.63 14.06 15.10 20.94 20.90 18.23 
#>    14   140   149   127   107     6    85   128   159   181   164    10   145 
#> 12.89 12.68  8.37  3.53 11.18 15.64 16.44 20.35 10.55 16.46 23.60 10.53 10.07 
#>   175   139    78 139.1 113.1    69   6.1  18.1   106   6.2   192   150    77 
#> 21.91 21.49 23.88 21.49 22.86 23.23 15.64 15.21 16.67 15.64 16.44 20.33  7.27 
#>    68  78.1    56    58   130    86  39.1   111  58.1    25  86.1    42 106.1 
#> 20.62 23.88 12.21 19.34 16.47 23.81 15.59 17.45 19.34  6.32 23.81 12.43 16.67 
#>   123    15 123.1 140.1  69.1    37   153   170   190  90.1  56.1 111.1    16 
#> 13.00 22.68 13.00 12.68 23.23 12.52 21.33 19.54 20.81 20.94 12.21 17.45  8.71 
#> 106.2  85.1  66.1  14.1   117 157.1   110    88    41 139.2    97  37.1   105 
#> 16.67 16.44 22.13 12.89 17.46 15.10 17.56 18.37 18.02 21.49 19.14 12.52 19.75 
#>   158    91    93 107.1    99  58.2    45 179.2    30  45.1    40   167   197 
#> 20.14  5.33 10.33 11.18 21.19 19.34 17.42 18.63 17.43 17.42 18.00 15.55 21.60 
#> 167.1    96 113.2  37.2   168  40.1    24    29   100    64   121   141     9 
#> 15.55 14.54 22.86 12.52 23.72 18.00 23.89 15.45 16.07 24.00 24.00 24.00 24.00 
#>   200     2    95   151 121.1   178   102    33   160 178.1   185    67    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75   162    84   137    47   112    17    12    46 160.1 151.1     1    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 102.1   1.1  12.1   147 147.1   182   146  67.1    71     7 151.2   122   1.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  75.1 162.1  75.2   186    80  84.1  12.2  95.1   143    28   196   120   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174 151.3 147.2   126 182.1    22 146.1     3 126.1  95.2 151.4 160.2   1.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104   138   198    38 126.2   191 146.2   116 200.1    27   165   148 126.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83  71.1   193 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[15]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                 0.0107474                 0.6218955                 0.3667109 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -0.8785668               0.0107998               0.3409388 
#>   grade_iii, Cure model 
#>               1.2278441 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 111   17.45      1  47        0         1
#> 107   11.18      1  54        1         0
#> 181   16.46      1  45        0         1
#> 136   21.83      1  43        0         1
#> 110   17.56      1  65        0         1
#> 187    9.92      1  39        1         0
#> 24    23.89      1  38        0         0
#> 23    16.92      1  61        0         0
#> 59    10.16      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 92    22.92      1  47        0         1
#> 125.1 15.65      1  67        1         0
#> 40    18.00      1  28        1         0
#> 79    16.23      1  54        1         0
#> 16     8.71      1  71        0         1
#> 16.1   8.71      1  71        0         1
#> 36    21.19      1  48        0         1
#> 154   12.63      1  20        1         0
#> 184   17.77      1  38        0         0
#> 36.1  21.19      1  48        0         1
#> 8     18.43      1  32        0         0
#> 136.1 21.83      1  43        0         1
#> 45    17.42      1  54        0         1
#> 189   10.51      1  NA        1         0
#> 181.1 16.46      1  45        0         1
#> 5     16.43      1  51        0         1
#> 42    12.43      1  49        0         1
#> 68    20.62      1  44        0         0
#> 43    12.10      1  61        0         1
#> 5.1   16.43      1  51        0         1
#> 130   16.47      1  53        0         1
#> 155   13.08      1  26        0         0
#> 81    14.06      1  34        0         0
#> 37    12.52      1  57        1         0
#> 157   15.10      1  47        0         0
#> 40.1  18.00      1  28        1         0
#> 23.1  16.92      1  61        0         0
#> 88    18.37      1  47        0         0
#> 50    10.02      1  NA        1         0
#> 166   19.98      1  48        0         0
#> 16.2   8.71      1  71        0         1
#> 29    15.45      1  68        1         0
#> 24.1  23.89      1  38        0         0
#> 70     7.38      1  30        1         0
#> 56    12.21      1  60        0         0
#> 92.1  22.92      1  47        0         1
#> 150   20.33      1  48        0         0
#> 37.1  12.52      1  57        1         0
#> 45.1  17.42      1  54        0         1
#> 189.1 10.51      1  NA        1         0
#> 85    16.44      1  36        0         0
#> 40.2  18.00      1  28        1         0
#> 36.2  21.19      1  48        0         1
#> 96    14.54      1  33        0         1
#> 171   16.57      1  41        0         1
#> 32    20.90      1  37        1         0
#> 4     17.64      1  NA        0         1
#> 129   23.41      1  53        1         0
#> 183    9.24      1  67        1         0
#> 111.1 17.45      1  47        0         1
#> 181.2 16.46      1  45        0         1
#> 134   17.81      1  47        1         0
#> 13    14.34      1  54        0         1
#> 59.1  10.16      1  NA        1         0
#> 32.1  20.90      1  37        1         0
#> 59.2  10.16      1  NA        1         0
#> 190   20.81      1  42        1         0
#> 25     6.32      1  34        1         0
#> 4.1   17.64      1  NA        0         1
#> 32.2  20.90      1  37        1         0
#> 10    10.53      1  34        0         0
#> 171.1 16.57      1  41        0         1
#> 107.1 11.18      1  54        1         0
#> 29.1  15.45      1  68        1         0
#> 107.2 11.18      1  54        1         0
#> 96.1  14.54      1  33        0         1
#> 99    21.19      1  38        0         1
#> 188   16.16      1  46        0         1
#> 96.2  14.54      1  33        0         1
#> 4.2   17.64      1  NA        0         1
#> 195   11.76      1  NA        1         0
#> 13.1  14.34      1  54        0         1
#> 81.1  14.06      1  34        0         0
#> 166.1 19.98      1  48        0         0
#> 43.1  12.10      1  61        0         1
#> 189.2 10.51      1  NA        1         0
#> 117   17.46      1  26        0         1
#> 91     5.33      1  61        0         1
#> 51    18.23      1  83        0         1
#> 133   14.65      1  57        0         0
#> 140   12.68      1  59        1         0
#> 110.1 17.56      1  65        0         1
#> 61    10.12      1  36        0         1
#> 15    22.68      1  48        0         0
#> 177   12.53      1  75        0         0
#> 149    8.37      1  33        1         0
#> 192   16.44      1  31        1         0
#> 51.1  18.23      1  83        0         1
#> 8.1   18.43      1  32        0         0
#> 134.1 17.81      1  47        1         0
#> 5.2   16.43      1  51        0         1
#> 150.1 20.33      1  48        0         0
#> 108   18.29      1  39        0         1
#> 5.3   16.43      1  51        0         1
#> 171.2 16.57      1  41        0         1
#> 60    13.15      1  38        1         0
#> 128   20.35      1  35        0         1
#> 168   23.72      1  70        0         0
#> 158   20.14      1  74        1         0
#> 124    9.73      1  NA        1         0
#> 134.2 17.81      1  47        1         0
#> 128.1 20.35      1  35        0         1
#> 48    24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 34    24.00      0  36        0         0
#> 102   24.00      0  49        0         0
#> 186   24.00      0  45        1         0
#> 165   24.00      0  47        0         0
#> 102.1 24.00      0  49        0         0
#> 156   24.00      0  50        1         0
#> 22    24.00      0  52        1         0
#> 34.1  24.00      0  36        0         0
#> 62    24.00      0  71        0         0
#> 122   24.00      0  66        0         0
#> 80    24.00      0  41        0         0
#> 2     24.00      0   9        0         0
#> 54    24.00      0  53        1         0
#> 144   24.00      0  28        0         1
#> 156.1 24.00      0  50        1         0
#> 138   24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 161   24.00      0  45        0         0
#> 33    24.00      0  53        0         0
#> 163.1 24.00      0  66        0         0
#> 121   24.00      0  57        1         0
#> 118   24.00      0  44        1         0
#> 75    24.00      0  21        1         0
#> 162   24.00      0  51        0         0
#> 121.1 24.00      0  57        1         0
#> 22.1  24.00      0  52        1         0
#> 141   24.00      0  44        1         0
#> 144.1 24.00      0  28        0         1
#> 64    24.00      0  43        0         0
#> 53    24.00      0  32        0         1
#> 185   24.00      0  44        1         0
#> 186.1 24.00      0  45        1         0
#> 3     24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 143   24.00      0  51        0         0
#> 178   24.00      0  52        1         0
#> 31    24.00      0  36        0         1
#> 54.1  24.00      0  53        1         0
#> 119   24.00      0  17        0         0
#> 161.1 24.00      0  45        0         0
#> 95    24.00      0  68        0         1
#> 174   24.00      0  49        1         0
#> 144.2 24.00      0  28        0         1
#> 103   24.00      0  56        1         0
#> 7     24.00      0  37        1         0
#> 33.1  24.00      0  53        0         0
#> 82    24.00      0  34        0         0
#> 46    24.00      0  71        0         0
#> 74    24.00      0  43        0         1
#> 198   24.00      0  66        0         1
#> 178.1 24.00      0  52        1         0
#> 46.1  24.00      0  71        0         0
#> 146   24.00      0  63        1         0
#> 71    24.00      0  51        0         0
#> 185.1 24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 22.2  24.00      0  52        1         0
#> 182   24.00      0  35        0         0
#> 174.1 24.00      0  49        1         0
#> 115   24.00      0  NA        1         0
#> 83    24.00      0   6        0         0
#> 174.2 24.00      0  49        1         0
#> 135   24.00      0  58        1         0
#> 104   24.00      0  50        1         0
#> 137   24.00      0  45        1         0
#> 53.1  24.00      0  32        0         1
#> 31.1  24.00      0  36        0         1
#> 94    24.00      0  51        0         1
#> 47    24.00      0  38        0         1
#> 165.1 24.00      0  47        0         0
#> 120   24.00      0  68        0         1
#> 71.1  24.00      0  51        0         0
#> 80.1  24.00      0  41        0         0
#> 109   24.00      0  48        0         0
#> 53.2  24.00      0  32        0         1
#> 74.1  24.00      0  43        0         1
#> 53.3  24.00      0  32        0         1
#> 163.2 24.00      0  66        0         0
#> 119.1 24.00      0  17        0         0
#> 2.1   24.00      0   9        0         0
#> 75.1  24.00      0  21        1         0
#> 73    24.00      0  NA        0         1
#> 19    24.00      0  57        0         1
#> 112   24.00      0  61        0         0
#> 138.1 24.00      0  44        1         0
#> 120.1 24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.879         NA        NA      NA
#> 2 age, Cure model           0.0108        NA        NA      NA
#> 3 grade_ii, Cure model      0.341         NA        NA      NA
#> 4 grade_iii, Cure model     1.23          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0107        NA        NA      NA
#> 2 grade_ii, Survival model    0.622         NA        NA      NA
#> 3 grade_iii, Survival model   0.367         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -0.8786            0.0108            0.3409            1.2278  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.8 
#> Residual Deviance: 243.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -0.8785668        0.0107998        0.3409388        1.2278441 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>        0.0107474        0.6218955        0.3667109 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.6932626 0.9412127 0.7590605 0.3379548 0.6717606 0.9629107 0.1020961
#>   [8] 0.7205006 0.8232891 0.2715800 0.8232891 0.6175856 0.8120225 0.9714439
#>  [15] 0.9714439 0.3745320 0.9042368 0.6642371 0.3745320 0.5621538 0.3379548
#>  [22] 0.7070885 0.7590605 0.7892535 0.9230338 0.4780566 0.9322233 0.7892535
#>  [29] 0.7527385 0.8945297 0.8797740 0.9137803 0.8444299 0.6175856 0.7205006
#>  [36] 0.5813445 0.5426904 0.9714439 0.8340515 0.1020961 0.9878701 0.9276389
#>  [43] 0.2715800 0.5114421 0.9137803 0.7070885 0.7772643 0.6175856 0.3745320
#>  [50] 0.8547717 0.7336854 0.4301619 0.2411769 0.9672039 0.6932626 0.7590605
#>  [57] 0.6417943 0.8698644 0.4301619 0.4662897 0.9919417 0.4301619 0.9542314
#>  [64] 0.7336854 0.9412127 0.8340515 0.9412127 0.8547717 0.3745320 0.8176823
#>  [71] 0.8547717 0.8698644 0.8797740 0.5426904 0.9322233 0.6861155 0.9959853
#>  [78] 0.6003053 0.8496141 0.8994162 0.6717606 0.9585821 0.3159898 0.9090241
#>  [85] 0.9837719 0.7772643 0.6003053 0.5621538 0.6417943 0.7892535 0.5114421
#>  [92] 0.5909157 0.7892535 0.7336854 0.8896347 0.4896511 0.1984678 0.5326240
#>  [99] 0.6417943 0.4896511 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>   111   107   181   136   110   187    24    23   125    92 125.1    40    79 
#> 17.45 11.18 16.46 21.83 17.56  9.92 23.89 16.92 15.65 22.92 15.65 18.00 16.23 
#>    16  16.1    36   154   184  36.1     8 136.1    45 181.1     5    42    68 
#>  8.71  8.71 21.19 12.63 17.77 21.19 18.43 21.83 17.42 16.46 16.43 12.43 20.62 
#>    43   5.1   130   155    81    37   157  40.1  23.1    88   166  16.2    29 
#> 12.10 16.43 16.47 13.08 14.06 12.52 15.10 18.00 16.92 18.37 19.98  8.71 15.45 
#>  24.1    70    56  92.1   150  37.1  45.1    85  40.2  36.2    96   171    32 
#> 23.89  7.38 12.21 22.92 20.33 12.52 17.42 16.44 18.00 21.19 14.54 16.57 20.90 
#>   129   183 111.1 181.2   134    13  32.1   190    25  32.2    10 171.1 107.1 
#> 23.41  9.24 17.45 16.46 17.81 14.34 20.90 20.81  6.32 20.90 10.53 16.57 11.18 
#>  29.1 107.2  96.1    99   188  96.2  13.1  81.1 166.1  43.1   117    91    51 
#> 15.45 11.18 14.54 21.19 16.16 14.54 14.34 14.06 19.98 12.10 17.46  5.33 18.23 
#>   133   140 110.1    61    15   177   149   192  51.1   8.1 134.1   5.2 150.1 
#> 14.65 12.68 17.56 10.12 22.68 12.53  8.37 16.44 18.23 18.43 17.81 16.43 20.33 
#>   108   5.3 171.2    60   128   168   158 134.2 128.1    48   152    34   102 
#> 18.29 16.43 16.57 13.15 20.35 23.72 20.14 17.81 20.35 24.00 24.00 24.00 24.00 
#>   186   165 102.1   156    22  34.1    62   122    80     2    54   144 156.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138   163   161    33 163.1   121   118    75   162 121.1  22.1   141 144.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64    53   185 186.1     3   142   143   178    31  54.1   119 161.1    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174 144.2   103     7  33.1    82    46    74   198 178.1  46.1   146    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 185.1   200  22.2   182 174.1    83 174.2   135   104   137  53.1  31.1    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47 165.1   120  71.1  80.1   109  53.2  74.1  53.3 163.2 119.1   2.1  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19   112 138.1 120.1 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[16]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.009795989               0.822407749               0.557290204 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.194863089            -0.001822732             0.110206064 
#>   grade_iii, Cure model 
#>             1.360833525 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 153   21.33      1  55        1         0
#> 97    19.14      1  65        0         1
#> 164   23.60      1  76        0         1
#> 133   14.65      1  57        0         0
#> 89    11.44      1  NA        0         0
#> 79    16.23      1  54        1         0
#> 36    21.19      1  48        0         1
#> 60    13.15      1  38        1         0
#> 41    18.02      1  40        1         0
#> 97.1  19.14      1  65        0         1
#> 91     5.33      1  61        0         1
#> 89.1  11.44      1  NA        0         0
#> 124    9.73      1  NA        1         0
#> 114   13.68      1  NA        0         0
#> 77     7.27      1  67        0         1
#> 96    14.54      1  33        0         1
#> 86    23.81      1  58        0         1
#> 61    10.12      1  36        0         1
#> 51    18.23      1  83        0         1
#> 180   14.82      1  37        0         0
#> 78    23.88      1  43        0         0
#> 61.1  10.12      1  36        0         1
#> 92    22.92      1  47        0         1
#> 92.1  22.92      1  47        0         1
#> 68    20.62      1  44        0         0
#> 168   23.72      1  70        0         0
#> 190   20.81      1  42        1         0
#> 59    10.16      1  NA        1         0
#> 37    12.52      1  57        1         0
#> 167   15.55      1  56        1         0
#> 24    23.89      1  38        0         0
#> 39    15.59      1  37        0         1
#> 128   20.35      1  35        0         1
#> 36.1  21.19      1  48        0         1
#> 36.2  21.19      1  48        0         1
#> 14    12.89      1  21        0         0
#> 111   17.45      1  47        0         1
#> 183    9.24      1  67        1         0
#> 179   18.63      1  42        0         0
#> 86.1  23.81      1  58        0         1
#> 113   22.86      1  34        0         0
#> 14.1  12.89      1  21        0         0
#> 49    12.19      1  48        1         0
#> 181   16.46      1  45        0         1
#> 133.1 14.65      1  57        0         0
#> 4     17.64      1  NA        0         1
#> 37.1  12.52      1  57        1         0
#> 154   12.63      1  20        1         0
#> 128.1 20.35      1  35        0         1
#> 24.1  23.89      1  38        0         0
#> 63    22.77      1  31        1         0
#> 184   17.77      1  38        0         0
#> 168.1 23.72      1  70        0         0
#> 91.1   5.33      1  61        0         1
#> 129   23.41      1  53        1         0
#> 157   15.10      1  47        0         0
#> 43    12.10      1  61        0         1
#> 96.1  14.54      1  33        0         1
#> 123   13.00      1  44        1         0
#> 133.2 14.65      1  57        0         0
#> 175   21.91      1  43        0         0
#> 5     16.43      1  51        0         1
#> 154.1 12.63      1  20        1         0
#> 189   10.51      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 155   13.08      1  26        0         0
#> 37.2  12.52      1  57        1         0
#> 125   15.65      1  67        1         0
#> 26    15.77      1  49        0         1
#> 128.2 20.35      1  35        0         1
#> 61.2  10.12      1  36        0         1
#> 194   22.40      1  38        0         1
#> 96.2  14.54      1  33        0         1
#> 58    19.34      1  39        0         0
#> 180.1 14.82      1  37        0         0
#> 123.1 13.00      1  44        1         0
#> 153.1 21.33      1  55        1         0
#> 25     6.32      1  34        1         0
#> 96.3  14.54      1  33        0         1
#> 61.3  10.12      1  36        0         1
#> 181.1 16.46      1  45        0         1
#> 189.1 10.51      1  NA        1         0
#> 150   20.33      1  48        0         0
#> 194.1 22.40      1  38        0         1
#> 50    10.02      1  NA        1         0
#> 113.1 22.86      1  34        0         0
#> 30    17.43      1  78        0         0
#> 63.1  22.77      1  31        1         0
#> 155.1 13.08      1  26        0         0
#> 164.1 23.60      1  76        0         1
#> 181.2 16.46      1  45        0         1
#> 150.1 20.33      1  48        0         0
#> 194.2 22.40      1  38        0         1
#> 15    22.68      1  48        0         0
#> 125.1 15.65      1  67        1         0
#> 39.1  15.59      1  37        0         1
#> 78.1  23.88      1  43        0         0
#> 199   19.81      1  NA        0         1
#> 106   16.67      1  49        1         0
#> 61.4  10.12      1  36        0         1
#> 125.2 15.65      1  67        1         0
#> 168.2 23.72      1  70        0         0
#> 93    10.33      1  52        0         1
#> 139   21.49      1  63        1         0
#> 140   12.68      1  59        1         0
#> 93.1  10.33      1  52        0         1
#> 111.1 17.45      1  47        0         1
#> 40    18.00      1  28        1         0
#> 130   16.47      1  53        0         1
#> 97.2  19.14      1  65        0         1
#> 23    16.92      1  61        0         0
#> 30.1  17.43      1  78        0         0
#> 7     24.00      0  37        1         0
#> 12    24.00      0  63        0         0
#> 74    24.00      0  43        0         1
#> 116   24.00      0  58        0         1
#> 27    24.00      0  63        1         0
#> 185   24.00      0  44        1         0
#> 162   24.00      0  51        0         0
#> 12.1  24.00      0  63        0         0
#> 156   24.00      0  50        1         0
#> 146   24.00      0  63        1         0
#> 71    24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 162.1 24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 132   24.00      0  55        0         0
#> 87    24.00      0  27        0         0
#> 174   24.00      0  49        1         0
#> 174.1 24.00      0  49        1         0
#> 174.2 24.00      0  49        1         0
#> 137   24.00      0  45        1         0
#> 1     24.00      0  23        1         0
#> 75    24.00      0  21        1         0
#> 48    24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 146.1 24.00      0  63        1         0
#> 9     24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 109   24.00      0  48        0         0
#> 95    24.00      0  68        0         1
#> 165   24.00      0  47        0         0
#> 64    24.00      0  43        0         0
#> 138   24.00      0  44        1         0
#> 28    24.00      0  67        1         0
#> 200   24.00      0  64        0         0
#> 83    24.00      0   6        0         0
#> 142   24.00      0  53        0         0
#> 34    24.00      0  36        0         0
#> 102   24.00      0  49        0         0
#> 112   24.00      0  61        0         0
#> 144   24.00      0  28        0         1
#> 196   24.00      0  19        0         0
#> 75.1  24.00      0  21        1         0
#> 109.1 24.00      0  48        0         0
#> 62    24.00      0  71        0         0
#> 34.1  24.00      0  36        0         0
#> 196.1 24.00      0  19        0         0
#> 142.1 24.00      0  53        0         0
#> 120   24.00      0  68        0         1
#> 141   24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 87.1  24.00      0  27        0         0
#> 120.1 24.00      0  68        0         1
#> 200.1 24.00      0  64        0         0
#> 193   24.00      0  45        0         1
#> 38    24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 67    24.00      0  25        0         0
#> 22    24.00      0  52        1         0
#> 62.1  24.00      0  71        0         0
#> 118   24.00      0  44        1         0
#> 54.1  24.00      0  53        1         0
#> 65    24.00      0  57        1         0
#> 84    24.00      0  39        0         1
#> 95.1  24.00      0  68        0         1
#> 198   24.00      0  66        0         1
#> 38.1  24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 172   24.00      0  41        0         0
#> 141.1 24.00      0  44        1         0
#> 172.1 24.00      0  41        0         0
#> 28.1  24.00      0  67        1         0
#> 46    24.00      0  71        0         0
#> 142.2 24.00      0  53        0         0
#> 3     24.00      0  31        1         0
#> 131   24.00      0  66        0         0
#> 119   24.00      0  17        0         0
#> 112.1 24.00      0  61        0         0
#> 137.1 24.00      0  45        1         0
#> 178   24.00      0  52        1         0
#> 35    24.00      0  51        0         0
#> 121   24.00      0  57        1         0
#> 200.2 24.00      0  64        0         0
#> 53    24.00      0  32        0         1
#> 12.2  24.00      0  63        0         0
#> 182   24.00      0  35        0         0
#> 80    24.00      0  41        0         0
#> 72    24.00      0  40        0         1
#> 196.2 24.00      0  19        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.195          NA        NA      NA
#> 2 age, Cure model         -0.00182        NA        NA      NA
#> 3 grade_ii, Cure model     0.110          NA        NA      NA
#> 4 grade_iii, Cure model    1.36           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00980        NA        NA      NA
#> 2 grade_ii, Survival model   0.822          NA        NA      NA
#> 3 grade_iii, Survival model  0.557          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.194863         -0.001823          0.110206          1.360834  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262.4 
#> Residual Deviance: 246.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.194863089     -0.001822732      0.110206064      1.360833525 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.009795989      0.822407749      0.557290204 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.238842564 0.365373584 0.078129406 0.674301086 0.565916078 0.258764499
#>   [7] 0.743400531 0.425305236 0.365373584 0.981463438 0.962795898 0.704286694
#>  [13] 0.031331466 0.907503859 0.415053483 0.654538490 0.014900026 0.907503859
#>  [19] 0.112424234 0.112424234 0.297608388 0.048084539 0.287769622 0.841309061
#>  [25] 0.634862381 0.003491637 0.615298790 0.307562401 0.258764499 0.258764499
#>  [31] 0.792642886 0.455398655 0.953442421 0.394732285 0.031331466 0.133990688
#>  [37] 0.792642886 0.869621632 0.526013414 0.674301086 0.841309061 0.822130461
#>  [43] 0.307562401 0.003491637 0.156593651 0.445377391 0.048084539 0.981463438
#>  [49] 0.100836757 0.644672737 0.879119473 0.704286694 0.773092545 0.674301086
#>  [55] 0.217792395 0.555811361 0.822130461 0.404858570 0.753302510 0.841309061
#>  [61] 0.585989167 0.575959646 0.307562401 0.907503859 0.188041016 0.704286694
#>  [67] 0.355376381 0.654538490 0.773092545 0.238842564 0.972157952 0.704286694
#>  [73] 0.907503859 0.526013414 0.335835298 0.188041016 0.133990688 0.475133428
#>  [79] 0.156593651 0.753302510 0.078129406 0.526013414 0.335835298 0.188041016
#>  [85] 0.177183943 0.585989167 0.615298790 0.014900026 0.505607704 0.907503859
#>  [91] 0.585989167 0.048084539 0.888621366 0.228372686 0.812283320 0.888621366
#>  [97] 0.455398655 0.435425730 0.515814475 0.365373584 0.495316109 0.475133428
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   153    97   164   133    79    36    60    41  97.1    91    77    96    86 
#> 21.33 19.14 23.60 14.65 16.23 21.19 13.15 18.02 19.14  5.33  7.27 14.54 23.81 
#>    61    51   180    78  61.1    92  92.1    68   168   190    37   167    24 
#> 10.12 18.23 14.82 23.88 10.12 22.92 22.92 20.62 23.72 20.81 12.52 15.55 23.89 
#>    39   128  36.1  36.2    14   111   183   179  86.1   113  14.1    49   181 
#> 15.59 20.35 21.19 21.19 12.89 17.45  9.24 18.63 23.81 22.86 12.89 12.19 16.46 
#> 133.1  37.1   154 128.1  24.1    63   184 168.1  91.1   129   157    43  96.1 
#> 14.65 12.52 12.63 20.35 23.89 22.77 17.77 23.72  5.33 23.41 15.10 12.10 14.54 
#>   123 133.2   175     5 154.1     8   155  37.2   125    26 128.2  61.2   194 
#> 13.00 14.65 21.91 16.43 12.63 18.43 13.08 12.52 15.65 15.77 20.35 10.12 22.40 
#>  96.2    58 180.1 123.1 153.1    25  96.3  61.3 181.1   150 194.1 113.1    30 
#> 14.54 19.34 14.82 13.00 21.33  6.32 14.54 10.12 16.46 20.33 22.40 22.86 17.43 
#>  63.1 155.1 164.1 181.2 150.1 194.2    15 125.1  39.1  78.1   106  61.4 125.2 
#> 22.77 13.08 23.60 16.46 20.33 22.40 22.68 15.65 15.59 23.88 16.67 10.12 15.65 
#> 168.2    93   139   140  93.1 111.1    40   130  97.2    23  30.1     7    12 
#> 23.72 10.33 21.49 12.68 10.33 17.45 18.00 16.47 19.14 16.92 17.43 24.00 24.00 
#>    74   116    27   185   162  12.1   156   146    71    17 162.1    19   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87   174 174.1 174.2   137     1    75    48   191 146.1     9    54   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95   165    64   138    28   200    83   142    34   102   112   144   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  75.1 109.1    62  34.1 196.1 142.1   120   141   163  87.1 120.1 200.1   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38    82    67    22  62.1   118  54.1    65    84  95.1   198  38.1    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172 141.1 172.1  28.1    46 142.2     3   131   119 112.1 137.1   178    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121 200.2    53  12.2   182    80    72 196.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[17]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002966537               0.605287201               0.681412235 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.110815874             0.007078194            -0.470005547 
#>   grade_iii, Cure model 
#>             0.501348048 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 133   14.65      1  57        0         0
#> 113   22.86      1  34        0         0
#> 129   23.41      1  53        1         0
#> 50    10.02      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 18    15.21      1  49        1         0
#> 188   16.16      1  46        0         1
#> 97    19.14      1  65        0         1
#> 79    16.23      1  54        1         0
#> 78    23.88      1  43        0         0
#> 139   21.49      1  63        1         0
#> 15    22.68      1  48        0         0
#> 49    12.19      1  48        1         0
#> 93    10.33      1  52        0         1
#> 155   13.08      1  26        0         0
#> 154   12.63      1  20        1         0
#> 16     8.71      1  71        0         1
#> 111   17.45      1  47        0         1
#> 25     6.32      1  34        1         0
#> 129.1 23.41      1  53        1         0
#> 106   16.67      1  49        1         0
#> 184   17.77      1  38        0         0
#> 69    23.23      1  25        0         1
#> 117   17.46      1  26        0         1
#> 168.1 23.72      1  70        0         0
#> 117.1 17.46      1  26        0         1
#> 57    14.46      1  45        0         1
#> 189   10.51      1  NA        1         0
#> 25.1   6.32      1  34        1         0
#> 180   14.82      1  37        0         0
#> 69.1  23.23      1  25        0         1
#> 23    16.92      1  61        0         0
#> 66    22.13      1  53        0         0
#> 113.1 22.86      1  34        0         0
#> 113.2 22.86      1  34        0         0
#> 134   17.81      1  47        1         0
#> 194   22.40      1  38        0         1
#> 127    3.53      1  62        0         1
#> 23.1  16.92      1  61        0         0
#> 187    9.92      1  39        1         0
#> 169   22.41      1  46        0         0
#> 105   19.75      1  60        0         0
#> 183    9.24      1  67        1         0
#> 177   12.53      1  75        0         0
#> 61    10.12      1  36        0         1
#> 18.1  15.21      1  49        1         0
#> 150   20.33      1  48        0         0
#> 41    18.02      1  40        1         0
#> 101    9.97      1  10        0         1
#> 195   11.76      1  NA        1         0
#> 66.1  22.13      1  53        0         0
#> 157   15.10      1  47        0         0
#> 167   15.55      1  56        1         0
#> 13    14.34      1  54        0         1
#> 66.2  22.13      1  53        0         0
#> 23.2  16.92      1  61        0         0
#> 92    22.92      1  47        0         1
#> 113.3 22.86      1  34        0         0
#> 60    13.15      1  38        1         0
#> 125   15.65      1  67        1         0
#> 184.1 17.77      1  38        0         0
#> 97.1  19.14      1  65        0         1
#> 59    10.16      1  NA        1         0
#> 61.1  10.12      1  36        0         1
#> 136   21.83      1  43        0         1
#> 60.1  13.15      1  38        1         0
#> 114   13.68      1  NA        0         0
#> 45    17.42      1  54        0         1
#> 89    11.44      1  NA        0         0
#> 93.1  10.33      1  52        0         1
#> 149    8.37      1  33        1         0
#> 59.1  10.16      1  NA        1         0
#> 16.1   8.71      1  71        0         1
#> 171   16.57      1  41        0         1
#> 79.1  16.23      1  54        1         0
#> 114.1 13.68      1  NA        0         0
#> 167.1 15.55      1  56        1         0
#> 57.1  14.46      1  45        0         1
#> 139.1 21.49      1  63        1         0
#> 155.1 13.08      1  26        0         0
#> 179   18.63      1  42        0         0
#> 154.1 12.63      1  20        1         0
#> 96    14.54      1  33        0         1
#> 91     5.33      1  61        0         1
#> 79.2  16.23      1  54        1         0
#> 43    12.10      1  61        0         1
#> 52    10.42      1  52        0         1
#> 197   21.60      1  69        1         0
#> 8     18.43      1  32        0         0
#> 166   19.98      1  48        0         0
#> 13.1  14.34      1  54        0         1
#> 183.1  9.24      1  67        1         0
#> 117.2 17.46      1  26        0         1
#> 157.1 15.10      1  47        0         0
#> 168.2 23.72      1  70        0         0
#> 113.4 22.86      1  34        0         0
#> 117.3 17.46      1  26        0         1
#> 6     15.64      1  39        0         0
#> 127.1  3.53      1  62        0         1
#> 125.1 15.65      1  67        1         0
#> 76    19.22      1  54        0         1
#> 129.2 23.41      1  53        1         0
#> 90    20.94      1  50        0         1
#> 5     16.43      1  51        0         1
#> 85    16.44      1  36        0         0
#> 57.2  14.46      1  45        0         1
#> 192   16.44      1  31        1         0
#> 133.1 14.65      1  57        0         0
#> 63    22.77      1  31        1         0
#> 85.1  16.44      1  36        0         0
#> 55    19.34      1  69        0         1
#> 14    12.89      1  21        0         0
#> 3     24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 80    24.00      0  41        0         0
#> 198   24.00      0  66        0         1
#> 193   24.00      0  45        0         1
#> 160   24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 7     24.00      0  37        1         0
#> 137   24.00      0  45        1         0
#> 173   24.00      0  19        0         1
#> 138   24.00      0  44        1         0
#> 3.1   24.00      0  31        1         0
#> 148   24.00      0  61        1         0
#> 165   24.00      0  47        0         0
#> 1     24.00      0  23        1         0
#> 103   24.00      0  56        1         0
#> 38    24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 80.1  24.00      0  41        0         0
#> 162   24.00      0  51        0         0
#> 191   24.00      0  60        0         1
#> 148.1 24.00      0  61        1         0
#> 33    24.00      0  53        0         0
#> 138.1 24.00      0  44        1         0
#> 9     24.00      0  31        1         0
#> 7.1   24.00      0  37        1         0
#> 198.1 24.00      0  66        0         1
#> 46    24.00      0  71        0         0
#> 2     24.00      0   9        0         0
#> 109   24.00      0  48        0         0
#> 27    24.00      0  63        1         0
#> 162.1 24.00      0  51        0         0
#> 165.1 24.00      0  47        0         0
#> 120   24.00      0  68        0         1
#> 75    24.00      0  21        1         0
#> 198.2 24.00      0  66        0         1
#> 47    24.00      0  38        0         1
#> 75.1  24.00      0  21        1         0
#> 34    24.00      0  36        0         0
#> 152   24.00      0  36        0         1
#> 165.2 24.00      0  47        0         0
#> 193.1 24.00      0  45        0         1
#> 156   24.00      0  50        1         0
#> 62    24.00      0  71        0         0
#> 33.1  24.00      0  53        0         0
#> 82    24.00      0  34        0         0
#> 118   24.00      0  44        1         0
#> 3.2   24.00      0  31        1         0
#> 47.1  24.00      0  38        0         1
#> 27.1  24.00      0  63        1         0
#> 143   24.00      0  51        0         0
#> 87    24.00      0  27        0         0
#> 27.2  24.00      0  63        1         0
#> 20    24.00      0  46        1         0
#> 147   24.00      0  76        1         0
#> 118.1 24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 162.2 24.00      0  51        0         0
#> 135   24.00      0  58        1         0
#> 119   24.00      0  17        0         0
#> 46.1  24.00      0  71        0         0
#> 161   24.00      0  45        0         0
#> 33.2  24.00      0  53        0         0
#> 160.1 24.00      0  31        1         0
#> 178.1 24.00      0  52        1         0
#> 176   24.00      0  43        0         1
#> 141   24.00      0  44        1         0
#> 198.3 24.00      0  66        0         1
#> 38.1  24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 109.1 24.00      0  48        0         0
#> 75.2  24.00      0  21        1         0
#> 103.1 24.00      0  56        1         0
#> 144   24.00      0  28        0         1
#> 28    24.00      0  67        1         0
#> 144.1 24.00      0  28        0         1
#> 138.2 24.00      0  44        1         0
#> 67    24.00      0  25        0         0
#> 161.1 24.00      0  45        0         0
#> 44    24.00      0  56        0         0
#> 9.1   24.00      0  31        1         0
#> 135.1 24.00      0  58        1         0
#> 65    24.00      0  57        1         0
#> 11.1  24.00      0  42        0         1
#> 98    24.00      0  34        1         0
#> 20.1  24.00      0  46        1         0
#> 172   24.00      0  41        0         0
#> 163   24.00      0  66        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.111          NA        NA      NA
#> 2 age, Cure model          0.00708        NA        NA      NA
#> 3 grade_ii, Cure model    -0.470          NA        NA      NA
#> 4 grade_iii, Cure model    0.501          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00297        NA        NA      NA
#> 2 grade_ii, Survival model   0.605          NA        NA      NA
#> 3 grade_iii, Survival model  0.681          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.110816          0.007078         -0.470006          0.501348  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 255.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.110815874      0.007078194     -0.470005547      0.501348048 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002966537      0.605287201      0.681412235 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.73912621 0.16999378 0.09143402 0.03701693 0.69878045 0.64924829
#>   [7] 0.41229753 0.62411144 0.01188552 0.32792231 0.23645357 0.86346541
#>  [13] 0.88606929 0.81767137 0.84070828 0.94412656 0.52695366 0.96533646
#>  [19] 0.09143402 0.57165721 0.47174807 0.13295160 0.49117265 0.03701693
#>  [25] 0.49117265 0.76341628 0.96533646 0.73100409 0.13295160 0.54498753
#>  [31] 0.27172330 0.16999378 0.16999378 0.46197708 0.26021159 0.98624482
#>  [37] 0.54498753 0.92263209 0.24829628 0.38083936 0.92985252 0.85584818
#>  [43] 0.90081507 0.69878045 0.35964922 0.45208193 0.91537579 0.27172330
#>  [49] 0.71486863 0.68247304 0.78686311 0.27172330 0.54498753 0.15777272
#>  [55] 0.16999378 0.80236134 0.65765809 0.47174807 0.41229753 0.90081507
#>  [61] 0.30541745 0.80236134 0.53602247 0.88606929 0.95827203 0.94412656
#>  [67] 0.58060649 0.62411144 0.68247304 0.76341628 0.32792231 0.81767137
#>  [73] 0.43203693 0.84070828 0.75533633 0.97928025 0.62411144 0.87104328
#>  [79] 0.87857858 0.31676831 0.44204914 0.37022416 0.78686311 0.92985252
#>  [85] 0.49117265 0.71486863 0.03701693 0.16999378 0.49117265 0.67415985
#>  [91] 0.98624482 0.65765809 0.40199225 0.09143402 0.34911541 0.61541848
#>  [97] 0.58945346 0.76341628 0.58945346 0.73912621 0.22468916 0.58945346
#> [103] 0.39150304 0.83300271 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   133   113   129   168    18   188    97    79    78   139    15    49    93 
#> 14.65 22.86 23.41 23.72 15.21 16.16 19.14 16.23 23.88 21.49 22.68 12.19 10.33 
#>   155   154    16   111    25 129.1   106   184    69   117 168.1 117.1    57 
#> 13.08 12.63  8.71 17.45  6.32 23.41 16.67 17.77 23.23 17.46 23.72 17.46 14.46 
#>  25.1   180  69.1    23    66 113.1 113.2   134   194   127  23.1   187   169 
#>  6.32 14.82 23.23 16.92 22.13 22.86 22.86 17.81 22.40  3.53 16.92  9.92 22.41 
#>   105   183   177    61  18.1   150    41   101  66.1   157   167    13  66.2 
#> 19.75  9.24 12.53 10.12 15.21 20.33 18.02  9.97 22.13 15.10 15.55 14.34 22.13 
#>  23.2    92 113.3    60   125 184.1  97.1  61.1   136  60.1    45  93.1   149 
#> 16.92 22.92 22.86 13.15 15.65 17.77 19.14 10.12 21.83 13.15 17.42 10.33  8.37 
#>  16.1   171  79.1 167.1  57.1 139.1 155.1   179 154.1    96    91  79.2    43 
#>  8.71 16.57 16.23 15.55 14.46 21.49 13.08 18.63 12.63 14.54  5.33 16.23 12.10 
#>    52   197     8   166  13.1 183.1 117.2 157.1 168.2 113.4 117.3     6 127.1 
#> 10.42 21.60 18.43 19.98 14.34  9.24 17.46 15.10 23.72 22.86 17.46 15.64  3.53 
#> 125.1    76 129.2    90     5    85  57.2   192 133.1    63  85.1    55    14 
#> 15.65 19.22 23.41 20.94 16.43 16.44 14.46 16.44 14.65 22.77 16.44 19.34 12.89 
#>     3    19    80   198   193   160   178     7   137   173   138   3.1   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165     1   103    38    11  80.1   162   191 148.1    33 138.1     9   7.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 198.1    46     2   109    27 162.1 165.1   120    75 198.2    47  75.1    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152 165.2 193.1   156    62  33.1    82   118   3.2  47.1  27.1   143    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  27.2    20   147 118.1 162.2   135   119  46.1   161  33.2 160.1 178.1   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141 198.3  38.1    64 109.1  75.2 103.1   144    28 144.1 138.2    67 161.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44   9.1 135.1    65  11.1    98  20.1   172   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[18]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0004855739              0.4601647988              0.0876565956 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.29033531              0.01036296             -0.74433153 
#>   grade_iii, Cure model 
#>              0.85870060 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 79    16.23      1  54        1         0
#> 101    9.97      1  10        0         1
#> 85    16.44      1  36        0         0
#> 169   22.41      1  46        0         0
#> 14    12.89      1  21        0         0
#> 56    12.21      1  60        0         0
#> 49    12.19      1  48        1         0
#> 181   16.46      1  45        0         1
#> 166   19.98      1  48        0         0
#> 155   13.08      1  26        0         0
#> 57    14.46      1  45        0         1
#> 124    9.73      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 194   22.40      1  38        0         1
#> 63    22.77      1  31        1         0
#> 111   17.45      1  47        0         1
#> 81    14.06      1  34        0         0
#> 105   19.75      1  60        0         0
#> 26    15.77      1  49        0         1
#> 88    18.37      1  47        0         0
#> 145   10.07      1  65        1         0
#> 90    20.94      1  50        0         1
#> 86    23.81      1  58        0         1
#> 108   18.29      1  39        0         1
#> 86.1  23.81      1  58        0         1
#> 149    8.37      1  33        1         0
#> 5     16.43      1  51        0         1
#> 117   17.46      1  26        0         1
#> 42    12.43      1  49        0         1
#> 190   20.81      1  42        1         0
#> 108.1 18.29      1  39        0         1
#> 189   10.51      1  NA        1         0
#> 111.1 17.45      1  47        0         1
#> 184   17.77      1  38        0         0
#> 8     18.43      1  32        0         0
#> 32    20.90      1  37        1         0
#> 18    15.21      1  49        1         0
#> 88.1  18.37      1  47        0         0
#> 51    18.23      1  83        0         1
#> 195   11.76      1  NA        1         0
#> 39    15.59      1  37        0         1
#> 150   20.33      1  48        0         0
#> 170   19.54      1  43        0         1
#> 106   16.67      1  49        1         0
#> 125   15.65      1  67        1         0
#> 155.1 13.08      1  26        0         0
#> 24    23.89      1  38        0         0
#> 105.1 19.75      1  60        0         0
#> 15    22.68      1  48        0         0
#> 77     7.27      1  67        0         1
#> 60    13.15      1  38        1         0
#> 117.1 17.46      1  26        0         1
#> 58    19.34      1  39        0         0
#> 76    19.22      1  54        0         1
#> 61    10.12      1  36        0         1
#> 97    19.14      1  65        0         1
#> 92    22.92      1  47        0         1
#> 79.1  16.23      1  54        1         0
#> 192   16.44      1  31        1         0
#> 189.1 10.51      1  NA        1         0
#> 51.1  18.23      1  83        0         1
#> 79.2  16.23      1  54        1         0
#> 81.1  14.06      1  34        0         0
#> 194.1 22.40      1  38        0         1
#> 125.1 15.65      1  67        1         0
#> 105.2 19.75      1  60        0         0
#> 69.1  23.23      1  25        0         1
#> 63.1  22.77      1  31        1         0
#> 26.1  15.77      1  49        0         1
#> 136   21.83      1  43        0         1
#> 30    17.43      1  78        0         0
#> 197   21.60      1  69        1         0
#> 85.1  16.44      1  36        0         0
#> 177   12.53      1  75        0         0
#> 175   21.91      1  43        0         0
#> 129   23.41      1  53        1         0
#> 69.2  23.23      1  25        0         1
#> 164   23.60      1  76        0         1
#> 111.2 17.45      1  47        0         1
#> 90.1  20.94      1  50        0         1
#> 188   16.16      1  46        0         1
#> 110   17.56      1  65        0         1
#> 107   11.18      1  54        1         0
#> 166.1 19.98      1  48        0         0
#> 66    22.13      1  53        0         0
#> 139   21.49      1  63        1         0
#> 89    11.44      1  NA        0         0
#> 113   22.86      1  34        0         0
#> 18.1  15.21      1  49        1         0
#> 69.3  23.23      1  25        0         1
#> 175.1 21.91      1  43        0         0
#> 26.2  15.77      1  49        0         1
#> 150.1 20.33      1  48        0         0
#> 81.2  14.06      1  34        0         0
#> 39.1  15.59      1  37        0         1
#> 168   23.72      1  70        0         0
#> 70     7.38      1  30        1         0
#> 175.2 21.91      1  43        0         0
#> 40    18.00      1  28        1         0
#> 169.1 22.41      1  46        0         0
#> 88.2  18.37      1  47        0         0
#> 130   16.47      1  53        0         1
#> 4     17.64      1  NA        0         1
#> 85.2  16.44      1  36        0         0
#> 10    10.53      1  34        0         0
#> 90.2  20.94      1  50        0         1
#> 76.1  19.22      1  54        0         1
#> 159   10.55      1  50        0         1
#> 42.1  12.43      1  49        0         1
#> 78    23.88      1  43        0         0
#> 108.2 18.29      1  39        0         1
#> 157   15.10      1  47        0         0
#> 98    24.00      0  34        1         0
#> 74    24.00      0  43        0         1
#> 138   24.00      0  44        1         0
#> 64    24.00      0  43        0         0
#> 28    24.00      0  67        1         0
#> 148   24.00      0  61        1         0
#> 38    24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 118   24.00      0  44        1         0
#> 121   24.00      0  57        1         0
#> 46    24.00      0  71        0         0
#> 2     24.00      0   9        0         0
#> 161   24.00      0  45        0         0
#> 200   24.00      0  64        0         0
#> 54    24.00      0  53        1         0
#> 28.1  24.00      0  67        1         0
#> 64.1  24.00      0  43        0         0
#> 176   24.00      0  43        0         1
#> 80    24.00      0  41        0         0
#> 72    24.00      0  40        0         1
#> 121.1 24.00      0  57        1         0
#> 48    24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 47    24.00      0  38        0         1
#> 44    24.00      0  56        0         0
#> 95    24.00      0  68        0         1
#> 138.1 24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 152   24.00      0  36        0         1
#> 47.1  24.00      0  38        0         1
#> 186   24.00      0  45        1         0
#> 74.1  24.00      0  43        0         1
#> 22    24.00      0  52        1         0
#> 112   24.00      0  61        0         0
#> 102   24.00      0  49        0         0
#> 137   24.00      0  45        1         0
#> 83    24.00      0   6        0         0
#> 34    24.00      0  36        0         0
#> 174.1 24.00      0  49        1         0
#> 75    24.00      0  21        1         0
#> 38.1  24.00      0  31        1         0
#> 161.1 24.00      0  45        0         0
#> 1     24.00      0  23        1         0
#> 21    24.00      0  47        0         0
#> 17    24.00      0  38        0         1
#> 137.1 24.00      0  45        1         0
#> 148.1 24.00      0  61        1         0
#> 119   24.00      0  17        0         0
#> 138.2 24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 135   24.00      0  58        1         0
#> 82.1  24.00      0  34        0         0
#> 48.1  24.00      0  31        1         0
#> 75.1  24.00      0  21        1         0
#> 143   24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 35    24.00      0  51        0         0
#> 22.1  24.00      0  52        1         0
#> 53    24.00      0  32        0         1
#> 103   24.00      0  56        1         0
#> 12    24.00      0  63        0         0
#> 176.1 24.00      0  43        0         1
#> 178   24.00      0  52        1         0
#> 19    24.00      0  57        0         1
#> 3     24.00      0  31        1         0
#> 48.2  24.00      0  31        1         0
#> 148.2 24.00      0  61        1         0
#> 21.1  24.00      0  47        0         0
#> 87    24.00      0  27        0         0
#> 87.1  24.00      0  27        0         0
#> 121.2 24.00      0  57        1         0
#> 191   24.00      0  60        0         1
#> 196   24.00      0  19        0         0
#> 62    24.00      0  71        0         0
#> 33    24.00      0  53        0         0
#> 98.1  24.00      0  34        1         0
#> 31    24.00      0  36        0         1
#> 165   24.00      0  47        0         0
#> 21.2  24.00      0  47        0         0
#> 9     24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 20    24.00      0  46        1         0
#> 44.1  24.00      0  56        0         0
#> 44.2  24.00      0  56        0         0
#> 148.3 24.00      0  61        1         0
#> 65    24.00      0  57        1         0
#> 72.1  24.00      0  40        0         1
#> 144   24.00      0  28        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.290         NA        NA      NA
#> 2 age, Cure model           0.0104        NA        NA      NA
#> 3 grade_ii, Cure model     -0.744         NA        NA      NA
#> 4 grade_iii, Cure model     0.859         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000486        NA        NA      NA
#> 2 grade_ii, Survival model   0.460           NA        NA      NA
#> 3 grade_iii, Survival model  0.0877          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.29034           0.01036          -0.74433           0.85870  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    267.3 
#> Residual Deviance: 248.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.29033531       0.01036296      -0.74433153       0.85870060 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0004855739     0.4601647988     0.0876565956 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.694799647 0.966899827 0.650654355 0.191208868 0.874398998 0.908184497
#>   [7] 0.916647892 0.641611104 0.366222162 0.857543528 0.815274604 0.099367446
#>  [13] 0.211250174 0.161000154 0.587387705 0.823787531 0.384774722 0.729569120
#>  [19] 0.468290254 0.958568457 0.300584841 0.037203486 0.495809259 0.037203486
#>  [25] 0.975225005 0.685837112 0.569205276 0.891341064 0.338310995 0.495809259
#>  [31] 0.587387705 0.550820518 0.458944266 0.328784694 0.789811647 0.468290254
#>  [37] 0.523220455 0.772666462 0.347691425 0.412322693 0.623498971 0.755493790
#>  [43] 0.857543528 0.008067548 0.384774722 0.180936358 0.991757259 0.849076071
#>  [49] 0.569205276 0.421703050 0.431087330 0.950198158 0.449601219 0.138832570
#>  [55] 0.694799647 0.650654355 0.523220455 0.694799647 0.823787531 0.211250174
#>  [61] 0.755493790 0.384774722 0.099367446 0.161000154 0.729569120 0.270720403
#>  [67] 0.614366165 0.280862439 0.650654355 0.882868577 0.241346940 0.087185991
#>  [73] 0.099367446 0.074007831 0.587387705 0.300584841 0.720802377 0.560017249
#>  [79] 0.925068695 0.366222162 0.231157664 0.290813323 0.149909469 0.789811647
#>  [85] 0.099367446 0.241346940 0.729569120 0.347691425 0.823787531 0.772666462
#>  [91] 0.060713144 0.983510633 0.241346940 0.541626598 0.191208868 0.468290254
#>  [97] 0.632559178 0.650654355 0.941822497 0.300584841 0.431087330 0.933448055
#> [103] 0.891341064 0.022342097 0.495809259 0.806755627 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000 0.000000000
#> 
#> $Time
#>    79   101    85   169    14    56    49   181   166   155    57    69   194 
#> 16.23  9.97 16.44 22.41 12.89 12.21 12.19 16.46 19.98 13.08 14.46 23.23 22.40 
#>    63   111    81   105    26    88   145    90    86   108  86.1   149     5 
#> 22.77 17.45 14.06 19.75 15.77 18.37 10.07 20.94 23.81 18.29 23.81  8.37 16.43 
#>   117    42   190 108.1 111.1   184     8    32    18  88.1    51    39   150 
#> 17.46 12.43 20.81 18.29 17.45 17.77 18.43 20.90 15.21 18.37 18.23 15.59 20.33 
#>   170   106   125 155.1    24 105.1    15    77    60 117.1    58    76    61 
#> 19.54 16.67 15.65 13.08 23.89 19.75 22.68  7.27 13.15 17.46 19.34 19.22 10.12 
#>    97    92  79.1   192  51.1  79.2  81.1 194.1 125.1 105.2  69.1  63.1  26.1 
#> 19.14 22.92 16.23 16.44 18.23 16.23 14.06 22.40 15.65 19.75 23.23 22.77 15.77 
#>   136    30   197  85.1   177   175   129  69.2   164 111.2  90.1   188   110 
#> 21.83 17.43 21.60 16.44 12.53 21.91 23.41 23.23 23.60 17.45 20.94 16.16 17.56 
#>   107 166.1    66   139   113  18.1  69.3 175.1  26.2 150.1  81.2  39.1   168 
#> 11.18 19.98 22.13 21.49 22.86 15.21 23.23 21.91 15.77 20.33 14.06 15.59 23.72 
#>    70 175.2    40 169.1  88.2   130  85.2    10  90.2  76.1   159  42.1    78 
#>  7.38 21.91 18.00 22.41 18.37 16.47 16.44 10.53 20.94 19.22 10.55 12.43 23.88 
#> 108.2   157    98    74   138    64    28   148    38   174   118   121    46 
#> 18.29 15.10 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2   161   200    54  28.1  64.1   176    80    72 121.1    48   162    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44    95 138.1   132   152  47.1   186  74.1    22   112   102   137    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34 174.1    75  38.1 161.1     1    21    17 137.1 148.1   119 138.2    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135  82.1  48.1  75.1   143   160    35  22.1    53   103    12 176.1   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19     3  48.2 148.2  21.1    87  87.1 121.2   191   196    62    33  98.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31   165  21.2     9   104    20  44.1  44.2 148.3    65  72.1   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[19]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0007476429              0.9297828875              0.3151152071 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.459160523             0.009330532            -0.019733782 
#>   grade_iii, Cure model 
#>             0.754983315 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 41    18.02      1  40        1         0
#> 194   22.40      1  38        0         1
#> 13    14.34      1  54        0         1
#> 79    16.23      1  54        1         0
#> 139   21.49      1  63        1         0
#> 180   14.82      1  37        0         0
#> 106   16.67      1  49        1         0
#> 60    13.15      1  38        1         0
#> 187    9.92      1  39        1         0
#> 177   12.53      1  75        0         0
#> 199   19.81      1  NA        0         1
#> 93    10.33      1  52        0         1
#> 190   20.81      1  42        1         0
#> 133   14.65      1  57        0         0
#> 66    22.13      1  53        0         0
#> 180.1 14.82      1  37        0         0
#> 134   17.81      1  47        1         0
#> 4     17.64      1  NA        0         1
#> 136   21.83      1  43        0         1
#> 169   22.41      1  46        0         0
#> 8     18.43      1  32        0         0
#> 23    16.92      1  61        0         0
#> 25     6.32      1  34        1         0
#> 99    21.19      1  38        0         1
#> 15    22.68      1  48        0         0
#> 136.1 21.83      1  43        0         1
#> 100   16.07      1  60        0         0
#> 168   23.72      1  70        0         0
#> 6     15.64      1  39        0         0
#> 168.1 23.72      1  70        0         0
#> 189   10.51      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 171   16.57      1  41        0         1
#> 101    9.97      1  10        0         1
#> 125   15.65      1  67        1         0
#> 45    17.42      1  54        0         1
#> 51    18.23      1  83        0         1
#> 130   16.47      1  53        0         1
#> 167   15.55      1  56        1         0
#> 91     5.33      1  61        0         1
#> 189.1 10.51      1  NA        1         0
#> 101.1  9.97      1  10        0         1
#> 43    12.10      1  61        0         1
#> 199.1 19.81      1  NA        0         1
#> 37    12.52      1  57        1         0
#> 106.1 16.67      1  49        1         0
#> 32    20.90      1  37        1         0
#> 58    19.34      1  39        0         0
#> 36    21.19      1  48        0         1
#> 189.2 10.51      1  NA        1         0
#> 14    12.89      1  21        0         0
#> 77     7.27      1  67        0         1
#> 183    9.24      1  67        1         0
#> 25.1   6.32      1  34        1         0
#> 56    12.21      1  60        0         0
#> 179   18.63      1  42        0         0
#> 88    18.37      1  47        0         0
#> 164   23.60      1  76        0         1
#> 69    23.23      1  25        0         1
#> 32.1  20.90      1  37        1         0
#> 96    14.54      1  33        0         1
#> 181   16.46      1  45        0         1
#> 124    9.73      1  NA        1         0
#> 36.1  21.19      1  48        0         1
#> 184   17.77      1  38        0         0
#> 10    10.53      1  34        0         0
#> 125.1 15.65      1  67        1         0
#> 170   19.54      1  43        0         1
#> 8.1   18.43      1  32        0         0
#> 145   10.07      1  65        1         0
#> 36.2  21.19      1  48        0         1
#> 197   21.60      1  69        1         0
#> 69.1  23.23      1  25        0         1
#> 133.1 14.65      1  57        0         0
#> 190.1 20.81      1  42        1         0
#> 175   21.91      1  43        0         0
#> 24    23.89      1  38        0         0
#> 29    15.45      1  68        1         0
#> 175.1 21.91      1  43        0         0
#> 96.1  14.54      1  33        0         1
#> 101.2  9.97      1  10        0         1
#> 88.1  18.37      1  47        0         0
#> 51.1  18.23      1  83        0         1
#> 194.1 22.40      1  38        0         1
#> 60.1  13.15      1  38        1         0
#> 81    14.06      1  34        0         0
#> 117   17.46      1  26        0         1
#> 108   18.29      1  39        0         1
#> 157   15.10      1  47        0         0
#> 8.2   18.43      1  32        0         0
#> 79.1  16.23      1  54        1         0
#> 60.2  13.15      1  38        1         0
#> 175.2 21.91      1  43        0         0
#> 188   16.16      1  46        0         1
#> 30    17.43      1  78        0         0
#> 91.1   5.33      1  61        0         1
#> 56.1  12.21      1  60        0         0
#> 59    10.16      1  NA        1         0
#> 70     7.38      1  30        1         0
#> 97    19.14      1  65        0         1
#> 145.1 10.07      1  65        1         0
#> 134.1 17.81      1  47        1         0
#> 183.1  9.24      1  67        1         0
#> 41.1  18.02      1  40        1         0
#> 111   17.45      1  47        0         1
#> 15.1  22.68      1  48        0         0
#> 50    10.02      1  NA        1         0
#> 134.2 17.81      1  47        1         0
#> 170.1 19.54      1  43        0         1
#> 108.1 18.29      1  39        0         1
#> 29.1  15.45      1  68        1         0
#> 136.2 21.83      1  43        0         1
#> 121   24.00      0  57        1         0
#> 122   24.00      0  66        0         0
#> 161   24.00      0  45        0         0
#> 83    24.00      0   6        0         0
#> 12    24.00      0  63        0         0
#> 152   24.00      0  36        0         1
#> 28    24.00      0  67        1         0
#> 46    24.00      0  71        0         0
#> 122.1 24.00      0  66        0         0
#> 161.1 24.00      0  45        0         0
#> 62    24.00      0  71        0         0
#> 11    24.00      0  42        0         1
#> 102   24.00      0  49        0         0
#> 116   24.00      0  58        0         1
#> 193   24.00      0  45        0         1
#> 126   24.00      0  48        0         0
#> 160   24.00      0  31        1         0
#> 126.1 24.00      0  48        0         0
#> 28.1  24.00      0  67        1         0
#> 28.2  24.00      0  67        1         0
#> 119   24.00      0  17        0         0
#> 33    24.00      0  53        0         0
#> 147   24.00      0  76        1         0
#> 11.1  24.00      0  42        0         1
#> 176   24.00      0  43        0         1
#> 119.1 24.00      0  17        0         0
#> 138   24.00      0  44        1         0
#> 119.2 24.00      0  17        0         0
#> 44    24.00      0  56        0         0
#> 174   24.00      0  49        1         0
#> 186   24.00      0  45        1         0
#> 109   24.00      0  48        0         0
#> 178   24.00      0  52        1         0
#> 84    24.00      0  39        0         1
#> 137   24.00      0  45        1         0
#> 185   24.00      0  44        1         0
#> 47    24.00      0  38        0         1
#> 34    24.00      0  36        0         0
#> 46.1  24.00      0  71        0         0
#> 20    24.00      0  46        1         0
#> 109.1 24.00      0  48        0         0
#> 83.1  24.00      0   6        0         0
#> 186.1 24.00      0  45        1         0
#> 9     24.00      0  31        1         0
#> 48    24.00      0  31        1         0
#> 178.1 24.00      0  52        1         0
#> 47.1  24.00      0  38        0         1
#> 47.2  24.00      0  38        0         1
#> 74    24.00      0  43        0         1
#> 75    24.00      0  21        1         0
#> 84.1  24.00      0  39        0         1
#> 19    24.00      0  57        0         1
#> 75.1  24.00      0  21        1         0
#> 186.2 24.00      0  45        1         0
#> 94    24.00      0  51        0         1
#> 120   24.00      0  68        0         1
#> 44.1  24.00      0  56        0         0
#> 33.1  24.00      0  53        0         0
#> 95    24.00      0  68        0         1
#> 1     24.00      0  23        1         0
#> 11.2  24.00      0  42        0         1
#> 104   24.00      0  50        1         0
#> 160.1 24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 112   24.00      0  61        0         0
#> 115   24.00      0  NA        1         0
#> 165   24.00      0  47        0         0
#> 82    24.00      0  34        0         0
#> 98    24.00      0  34        1         0
#> 142   24.00      0  53        0         0
#> 151   24.00      0  42        0         0
#> 142.1 24.00      0  53        0         0
#> 44.2  24.00      0  56        0         0
#> 21    24.00      0  47        0         0
#> 2     24.00      0   9        0         0
#> 146   24.00      0  63        1         0
#> 156   24.00      0  50        1         0
#> 48.1  24.00      0  31        1         0
#> 48.2  24.00      0  31        1         0
#> 178.2 24.00      0  52        1         0
#> 73    24.00      0  NA        0         1
#> 198   24.00      0  66        0         1
#> 102.1 24.00      0  49        0         0
#> 196   24.00      0  19        0         0
#> 104.1 24.00      0  50        1         0
#> 65    24.00      0  57        1         0
#> 148   24.00      0  61        1         0
#> 151.1 24.00      0  42        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.459          NA        NA      NA
#> 2 age, Cure model          0.00933        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0197         NA        NA      NA
#> 4 grade_iii, Cure model    0.755          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000748        NA        NA      NA
#> 2 grade_ii, Survival model   0.930           NA        NA      NA
#> 3 grade_iii, Survival model  0.315           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.459161          0.009331         -0.019734          0.754983  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 254.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.459160523      0.009330532     -0.019733782      0.754983315 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0007476429     0.9297828875     0.3151152071 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.55769121 0.18065252 0.81958442 0.69320643 0.32158761 0.77622839
#>   [7] 0.65256110 0.83400708 0.94287949 0.86162701 0.90287245 0.40115816
#>  [13] 0.79070212 0.20977164 0.77622839 0.57594164 0.26764357 0.16456110
#>  [19] 0.47047672 0.64406471 0.97509637 0.33417053 0.13404961 0.26764357
#>  [25] 0.71657999 0.05073880 0.73945578 0.05073880 0.03030524 0.66883581
#>  [31] 0.92307306 0.72438511 0.63557333 0.53852566 0.67699044 0.74703213
#>  [37] 0.98757246 0.92307306 0.88915055 0.86857794 0.65256110 0.37964342
#>  [43] 0.44076839 0.33417053 0.85467913 0.96871785 0.94946060 0.97509637
#>  [49] 0.87545032 0.46059175 0.49955590 0.08543407 0.10380969 0.37964342
#>  [55] 0.80518691 0.68511403 0.33417053 0.60136570 0.89601084 0.72438511
#>  [61] 0.42111547 0.47047672 0.90971751 0.33417053 0.30826608 0.10380969
#>  [67] 0.79070212 0.40115816 0.22491773 0.01083198 0.75450018 0.22491773
#>  [73] 0.80518691 0.92307306 0.49955590 0.53852566 0.18065252 0.83400708
#>  [79] 0.82679496 0.60996615 0.51916176 0.76896120 0.47047672 0.69320643
#>  [85] 0.83400708 0.22491773 0.70877859 0.62704592 0.98757246 0.87545032
#>  [91] 0.96232657 0.45071335 0.90971751 0.57594164 0.94946060 0.55769121
#>  [97] 0.61852508 0.13404961 0.57594164 0.42111547 0.51916176 0.75450018
#> [103] 0.26764357 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    41   194    13    79   139   180   106    60   187   177    93   190   133 
#> 18.02 22.40 14.34 16.23 21.49 14.82 16.67 13.15  9.92 12.53 10.33 20.81 14.65 
#>    66 180.1   134   136   169     8    23    25    99    15 136.1   100   168 
#> 22.13 14.82 17.81 21.83 22.41 18.43 16.92  6.32 21.19 22.68 21.83 16.07 23.72 
#>     6 168.1    78   171   101   125    45    51   130   167    91 101.1    43 
#> 15.64 23.72 23.88 16.57  9.97 15.65 17.42 18.23 16.47 15.55  5.33  9.97 12.10 
#>    37 106.1    32    58    36    14    77   183  25.1    56   179    88   164 
#> 12.52 16.67 20.90 19.34 21.19 12.89  7.27  9.24  6.32 12.21 18.63 18.37 23.60 
#>    69  32.1    96   181  36.1   184    10 125.1   170   8.1   145  36.2   197 
#> 23.23 20.90 14.54 16.46 21.19 17.77 10.53 15.65 19.54 18.43 10.07 21.19 21.60 
#>  69.1 133.1 190.1   175    24    29 175.1  96.1 101.2  88.1  51.1 194.1  60.1 
#> 23.23 14.65 20.81 21.91 23.89 15.45 21.91 14.54  9.97 18.37 18.23 22.40 13.15 
#>    81   117   108   157   8.2  79.1  60.2 175.2   188    30  91.1  56.1    70 
#> 14.06 17.46 18.29 15.10 18.43 16.23 13.15 21.91 16.16 17.43  5.33 12.21  7.38 
#>    97 145.1 134.1 183.1  41.1   111  15.1 134.2 170.1 108.1  29.1 136.2   121 
#> 19.14 10.07 17.81  9.24 18.02 17.45 22.68 17.81 19.54 18.29 15.45 21.83 24.00 
#>   122   161    83    12   152    28    46 122.1 161.1    62    11   102   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193   126   160 126.1  28.1  28.2   119    33   147  11.1   176 119.1   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.2    44   174   186   109   178    84   137   185    47    34  46.1    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 109.1  83.1 186.1     9    48 178.1  47.1  47.2    74    75  84.1    19  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 186.2    94   120  44.1  33.1    95     1  11.2   104 160.1     7   112   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    82    98   142   151 142.1  44.2    21     2   146   156  48.1  48.2 178.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198 102.1   196 104.1    65   148 151.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[20]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.005254214               0.936620346               0.217347946 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.329175184             0.000123211             0.323519800 
#>   grade_iii, Cure model 
#>             1.239380635 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 5     16.43      1  51        0         1
#> 181   16.46      1  45        0         1
#> 10    10.53      1  34        0         0
#> 76    19.22      1  54        0         1
#> 51    18.23      1  83        0         1
#> 180   14.82      1  37        0         0
#> 195   11.76      1  NA        1         0
#> 6     15.64      1  39        0         0
#> 192   16.44      1  31        1         0
#> 70     7.38      1  30        1         0
#> 149    8.37      1  33        1         0
#> 92    22.92      1  47        0         1
#> 10.1  10.53      1  34        0         0
#> 45    17.42      1  54        0         1
#> 145   10.07      1  65        1         0
#> 78    23.88      1  43        0         0
#> 86    23.81      1  58        0         1
#> 124    9.73      1  NA        1         0
#> 85    16.44      1  36        0         0
#> 154   12.63      1  20        1         0
#> 175   21.91      1  43        0         0
#> 18    15.21      1  49        1         0
#> 113   22.86      1  34        0         0
#> 100   16.07      1  60        0         0
#> 171   16.57      1  41        0         1
#> 43    12.10      1  61        0         1
#> 70.1   7.38      1  30        1         0
#> 57    14.46      1  45        0         1
#> 123   13.00      1  44        1         0
#> 139   21.49      1  63        1         0
#> 15    22.68      1  48        0         0
#> 88    18.37      1  47        0         0
#> 188   16.16      1  46        0         1
#> 70.2   7.38      1  30        1         0
#> 110   17.56      1  65        0         1
#> 92.1  22.92      1  47        0         1
#> 24    23.89      1  38        0         0
#> 177   12.53      1  75        0         0
#> 113.1 22.86      1  34        0         0
#> 61    10.12      1  36        0         1
#> 113.2 22.86      1  34        0         0
#> 181.1 16.46      1  45        0         1
#> 114   13.68      1  NA        0         0
#> 90    20.94      1  50        0         1
#> 111   17.45      1  47        0         1
#> 181.2 16.46      1  45        0         1
#> 77     7.27      1  67        0         1
#> 149.1  8.37      1  33        1         0
#> 14    12.89      1  21        0         0
#> 32    20.90      1  37        1         0
#> 77.1   7.27      1  67        0         1
#> 29    15.45      1  68        1         0
#> 169   22.41      1  46        0         0
#> 199   19.81      1  NA        0         1
#> 69    23.23      1  25        0         1
#> 8     18.43      1  32        0         0
#> 36    21.19      1  48        0         1
#> 50    10.02      1  NA        1         0
#> 181.3 16.46      1  45        0         1
#> 76.1  19.22      1  54        0         1
#> 114.1 13.68      1  NA        0         0
#> 18.1  15.21      1  49        1         0
#> 56    12.21      1  60        0         0
#> 110.1 17.56      1  65        0         1
#> 184   17.77      1  38        0         0
#> 105   19.75      1  60        0         0
#> 8.1   18.43      1  32        0         0
#> 136   21.83      1  43        0         1
#> 60    13.15      1  38        1         0
#> 58    19.34      1  39        0         0
#> 25     6.32      1  34        1         0
#> 30    17.43      1  78        0         0
#> 189   10.51      1  NA        1         0
#> 139.1 21.49      1  63        1         0
#> 114.2 13.68      1  NA        0         0
#> 134   17.81      1  47        1         0
#> 125   15.65      1  67        1         0
#> 195.1 11.76      1  NA        1         0
#> 157   15.10      1  47        0         0
#> 111.1 17.45      1  47        0         1
#> 194   22.40      1  38        0         1
#> 136.1 21.83      1  43        0         1
#> 179   18.63      1  42        0         0
#> 150   20.33      1  48        0         0
#> 99    21.19      1  38        0         1
#> 153   21.33      1  55        1         0
#> 66    22.13      1  53        0         0
#> 77.2   7.27      1  67        0         1
#> 49    12.19      1  48        1         0
#> 134.1 17.81      1  47        1         0
#> 61.1  10.12      1  36        0         1
#> 107   11.18      1  54        1         0
#> 113.3 22.86      1  34        0         0
#> 189.1 10.51      1  NA        1         0
#> 41    18.02      1  40        1         0
#> 99.1  21.19      1  38        0         1
#> 5.1   16.43      1  51        0         1
#> 58.1  19.34      1  39        0         0
#> 13    14.34      1  54        0         1
#> 136.2 21.83      1  43        0         1
#> 189.2 10.51      1  NA        1         0
#> 10.2  10.53      1  34        0         0
#> 13.1  14.34      1  54        0         1
#> 56.1  12.21      1  60        0         0
#> 55    19.34      1  69        0         1
#> 4     17.64      1  NA        0         1
#> 124.1  9.73      1  NA        1         0
#> 128   20.35      1  35        0         1
#> 166   19.98      1  48        0         0
#> 166.1 19.98      1  48        0         0
#> 57.1  14.46      1  45        0         1
#> 18.2  15.21      1  49        1         0
#> 191   24.00      0  60        0         1
#> 9     24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 83    24.00      0   6        0         0
#> 198   24.00      0  66        0         1
#> 185   24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 7     24.00      0  37        1         0
#> 112   24.00      0  61        0         0
#> 94    24.00      0  51        0         1
#> 54    24.00      0  53        1         0
#> 137   24.00      0  45        1         0
#> 27    24.00      0  63        1         0
#> 12    24.00      0  63        0         0
#> 143   24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 109   24.00      0  48        0         0
#> 87    24.00      0  27        0         0
#> 46    24.00      0  71        0         0
#> 112.1 24.00      0  61        0         0
#> 160   24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 198.1 24.00      0  66        0         1
#> 161   24.00      0  45        0         0
#> 196   24.00      0  19        0         0
#> 94.1  24.00      0  51        0         1
#> 172   24.00      0  41        0         0
#> 163   24.00      0  66        0         0
#> 17    24.00      0  38        0         1
#> 82    24.00      0  34        0         0
#> 3     24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 19    24.00      0  57        0         1
#> 132.1 24.00      0  55        0         0
#> 102   24.00      0  49        0         0
#> 151   24.00      0  42        0         0
#> 27.1  24.00      0  63        1         0
#> 119   24.00      0  17        0         0
#> 20    24.00      0  46        1         0
#> 122   24.00      0  66        0         0
#> 174   24.00      0  49        1         0
#> 82.1  24.00      0  34        0         0
#> 178   24.00      0  52        1         0
#> 80    24.00      0  41        0         0
#> 64    24.00      0  43        0         0
#> 102.1 24.00      0  49        0         0
#> 173   24.00      0  19        0         1
#> 2     24.00      0   9        0         0
#> 80.1  24.00      0  41        0         0
#> 46.1  24.00      0  71        0         0
#> 193   24.00      0  45        0         1
#> 121   24.00      0  57        1         0
#> 35    24.00      0  51        0         0
#> 172.1 24.00      0  41        0         0
#> 80.2  24.00      0  41        0         0
#> 72    24.00      0  40        0         1
#> 75    24.00      0  21        1         0
#> 82.2  24.00      0  34        0         0
#> 44    24.00      0  56        0         0
#> 12.1  24.00      0  63        0         0
#> 44.1  24.00      0  56        0         0
#> 162   24.00      0  51        0         0
#> 119.1 24.00      0  17        0         0
#> 118   24.00      0  44        1         0
#> 172.2 24.00      0  41        0         0
#> 22.1  24.00      0  52        1         0
#> 35.1  24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 67    24.00      0  25        0         0
#> 80.3  24.00      0  41        0         0
#> 156   24.00      0  50        1         0
#> 141   24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 54.1  24.00      0  53        1         0
#> 83.1  24.00      0   6        0         0
#> 46.2  24.00      0  71        0         0
#> 116   24.00      0  58        0         1
#> 17.1  24.00      0  38        0         1
#> 121.1 24.00      0  57        1         0
#> 138   24.00      0  44        1         0
#> 122.1 24.00      0  66        0         0
#> 119.2 24.00      0  17        0         0
#> 143.1 24.00      0  51        0         0
#> 176   24.00      0  43        0         1
#> 147   24.00      0  76        1         0
#> 9.1   24.00      0  31        1         0
#> 87.1  24.00      0  27        0         0
#> 80.4  24.00      0  41        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.329           NA        NA      NA
#> 2 age, Cure model          0.000123        NA        NA      NA
#> 3 grade_ii, Cure model     0.324           NA        NA      NA
#> 4 grade_iii, Cure model    1.24            NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00525        NA        NA      NA
#> 2 grade_ii, Survival model   0.937          NA        NA      NA
#> 3 grade_iii, Survival model  0.217          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>       -0.3291752         0.0001232         0.3235198         1.2393806  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258.6 
#> Residual Deviance: 246.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.329175184      0.000123211      0.323519800      1.239380635 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.005254214      0.936620346      0.217347946 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.74584019 0.70053687 0.91655689 0.54507052 0.60125252 0.82296328
#>   [7] 0.78256930 0.73086339 0.96260244 0.95142798 0.14838807 0.91655689
#>  [13] 0.68467224 0.94568666 0.06510638 0.09752886 0.73086339 0.87419419
#>  [19] 0.31819191 0.79673980 0.18645060 0.76802135 0.69262915 0.90467861
#>  [25] 0.96260244 0.82953659 0.86170884 0.37721539 0.25052440 0.59191462
#>  [31] 0.76063146 0.96260244 0.64434999 0.14838807 0.02870334 0.88035361
#>  [37] 0.18645060 0.93405656 0.18645060 0.70053687 0.44524021 0.66061902
#>  [43] 0.70053687 0.97875808 0.95142798 0.86795413 0.45606528 0.97875808
#>  [49] 0.78973867 0.26800216 0.12403097 0.57330455 0.41307825 0.70053687
#>  [55] 0.54507052 0.79673980 0.88649229 0.64434999 0.63600472 0.50654482
#>  [61] 0.57330455 0.33434557 0.85536166 0.51648607 0.99471172 0.67665473
#>  [67] 0.37721539 0.61937579 0.77538497 0.81637869 0.66061902 0.28517424
#>  [73] 0.33434557 0.56386622 0.47657677 0.41307825 0.40156567 0.30182789
#>  [79] 0.97875808 0.89866487 0.61937579 0.93405656 0.91066400 0.18645060
#>  [85] 0.61045858 0.41307825 0.74584019 0.51648607 0.84251348 0.33434557
#>  [91] 0.91655689 0.84251348 0.88649229 0.51648607 0.46637668 0.48671463
#>  [97] 0.48671463 0.82953659 0.79673980 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>     5   181    10    76    51   180     6   192    70   149    92  10.1    45 
#> 16.43 16.46 10.53 19.22 18.23 14.82 15.64 16.44  7.38  8.37 22.92 10.53 17.42 
#>   145    78    86    85   154   175    18   113   100   171    43  70.1    57 
#> 10.07 23.88 23.81 16.44 12.63 21.91 15.21 22.86 16.07 16.57 12.10  7.38 14.46 
#>   123   139    15    88   188  70.2   110  92.1    24   177 113.1    61 113.2 
#> 13.00 21.49 22.68 18.37 16.16  7.38 17.56 22.92 23.89 12.53 22.86 10.12 22.86 
#> 181.1    90   111 181.2    77 149.1    14    32  77.1    29   169    69     8 
#> 16.46 20.94 17.45 16.46  7.27  8.37 12.89 20.90  7.27 15.45 22.41 23.23 18.43 
#>    36 181.3  76.1  18.1    56 110.1   184   105   8.1   136    60    58    25 
#> 21.19 16.46 19.22 15.21 12.21 17.56 17.77 19.75 18.43 21.83 13.15 19.34  6.32 
#>    30 139.1   134   125   157 111.1   194 136.1   179   150    99   153    66 
#> 17.43 21.49 17.81 15.65 15.10 17.45 22.40 21.83 18.63 20.33 21.19 21.33 22.13 
#>  77.2    49 134.1  61.1   107 113.3    41  99.1   5.1  58.1    13 136.2  10.2 
#>  7.27 12.19 17.81 10.12 11.18 22.86 18.02 21.19 16.43 19.34 14.34 21.83 10.53 
#>  13.1  56.1    55   128   166 166.1  57.1  18.2   191     9   120    83   198 
#> 14.34 12.21 19.34 20.35 19.98 19.98 14.46 15.21 24.00 24.00 24.00 24.00 24.00 
#>   185   132     7   112    94    54   137    27    12   143    22   109    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46 112.1   160    47 198.1   161   196  94.1   172   163    17    82     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182    19 132.1   102   151  27.1   119    20   122   174  82.1   178    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64 102.1   173     2  80.1  46.1   193   121    35 172.1  80.2    72    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.2    44  12.1  44.1   162 119.1   118 172.2  22.1  35.1    31    67  80.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156   141   186  54.1  83.1  46.2   116  17.1 121.1   138 122.1 119.2 143.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176   147   9.1  87.1  80.4 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[21]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01800658                0.41272325                1.04122943 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.94392165              0.01077687              0.79016880 
#>   grade_iii, Cure model 
#>              0.90572625 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 124    9.73      1  NA        1         0
#> 140   12.68      1  59        1         0
#> 184   17.77      1  38        0         0
#> 25     6.32      1  34        1         0
#> 40    18.00      1  28        1         0
#> 157   15.10      1  47        0         0
#> 127    3.53      1  62        0         1
#> 49    12.19      1  48        1         0
#> 70     7.38      1  30        1         0
#> 153   21.33      1  55        1         0
#> 159   10.55      1  50        0         1
#> 108   18.29      1  39        0         1
#> 129   23.41      1  53        1         0
#> 70.1   7.38      1  30        1         0
#> 42    12.43      1  49        0         1
#> 77     7.27      1  67        0         1
#> 124.1  9.73      1  NA        1         0
#> 43    12.10      1  61        0         1
#> 76    19.22      1  54        0         1
#> 164   23.60      1  76        0         1
#> 123   13.00      1  44        1         0
#> 153.1 21.33      1  55        1         0
#> 169   22.41      1  46        0         0
#> 93    10.33      1  52        0         1
#> 79    16.23      1  54        1         0
#> 100   16.07      1  60        0         0
#> 175   21.91      1  43        0         0
#> 129.1 23.41      1  53        1         0
#> 57    14.46      1  45        0         1
#> 45    17.42      1  54        0         1
#> 81    14.06      1  34        0         0
#> 127.1  3.53      1  62        0         1
#> 168   23.72      1  70        0         0
#> 39    15.59      1  37        0         1
#> 125   15.65      1  67        1         0
#> 106   16.67      1  49        1         0
#> 187    9.92      1  39        1         0
#> 89    11.44      1  NA        0         0
#> 107   11.18      1  54        1         0
#> 52    10.42      1  52        0         1
#> 63    22.77      1  31        1         0
#> 52.1  10.42      1  52        0         1
#> 50    10.02      1  NA        1         0
#> 25.1   6.32      1  34        1         0
#> 42.1  12.43      1  49        0         1
#> 78    23.88      1  43        0         0
#> 199   19.81      1  NA        0         1
#> 76.1  19.22      1  54        0         1
#> 129.2 23.41      1  53        1         0
#> 123.1 13.00      1  44        1         0
#> 129.3 23.41      1  53        1         0
#> 111   17.45      1  47        0         1
#> 89.1  11.44      1  NA        0         0
#> 114   13.68      1  NA        0         0
#> 66    22.13      1  53        0         0
#> 197   21.60      1  69        1         0
#> 169.1 22.41      1  46        0         0
#> 16     8.71      1  71        0         1
#> 16.1   8.71      1  71        0         1
#> 41    18.02      1  40        1         0
#> 26    15.77      1  49        0         1
#> 130   16.47      1  53        0         1
#> 40.1  18.00      1  28        1         0
#> 157.1 15.10      1  47        0         0
#> 45.1  17.42      1  54        0         1
#> 4     17.64      1  NA        0         1
#> 154   12.63      1  20        1         0
#> 8     18.43      1  32        0         0
#> 167   15.55      1  56        1         0
#> 139   21.49      1  63        1         0
#> 167.1 15.55      1  56        1         0
#> 96    14.54      1  33        0         1
#> 40.2  18.00      1  28        1         0
#> 129.4 23.41      1  53        1         0
#> 89.2  11.44      1  NA        0         0
#> 41.1  18.02      1  40        1         0
#> 127.2  3.53      1  62        0         1
#> 110   17.56      1  65        0         1
#> 37    12.52      1  57        1         0
#> 58    19.34      1  39        0         0
#> 4.1   17.64      1  NA        0         1
#> 96.1  14.54      1  33        0         1
#> 40.3  18.00      1  28        1         0
#> 86    23.81      1  58        0         1
#> 60    13.15      1  38        1         0
#> 32    20.90      1  37        1         0
#> 140.1 12.68      1  59        1         0
#> 159.1 10.55      1  50        0         1
#> 169.2 22.41      1  46        0         0
#> 15    22.68      1  48        0         0
#> 114.1 13.68      1  NA        0         0
#> 32.1  20.90      1  37        1         0
#> 129.5 23.41      1  53        1         0
#> 66.1  22.13      1  53        0         0
#> 153.2 21.33      1  55        1         0
#> 70.2   7.38      1  30        1         0
#> 133   14.65      1  57        0         0
#> 188   16.16      1  46        0         1
#> 96.2  14.54      1  33        0         1
#> 85    16.44      1  36        0         0
#> 29    15.45      1  68        1         0
#> 32.2  20.90      1  37        1         0
#> 169.3 22.41      1  46        0         0
#> 30    17.43      1  78        0         0
#> 155   13.08      1  26        0         0
#> 79.1  16.23      1  54        1         0
#> 4.2   17.64      1  NA        0         1
#> 91     5.33      1  61        0         1
#> 101    9.97      1  10        0         1
#> 125.1 15.65      1  67        1         0
#> 145   10.07      1  65        1         0
#> 68    20.62      1  44        0         0
#> 11    24.00      0  42        0         1
#> 83    24.00      0   6        0         0
#> 35    24.00      0  51        0         0
#> 33    24.00      0  53        0         0
#> 7     24.00      0  37        1         0
#> 62    24.00      0  71        0         0
#> 75    24.00      0  21        1         0
#> 11.1  24.00      0  42        0         1
#> 163   24.00      0  66        0         0
#> 103   24.00      0  56        1         0
#> 12    24.00      0  63        0         0
#> 191   24.00      0  60        0         1
#> 165   24.00      0  47        0         0
#> 82    24.00      0  34        0         0
#> 2     24.00      0   9        0         0
#> 84    24.00      0  39        0         1
#> 73    24.00      0  NA        0         1
#> 200   24.00      0  64        0         0
#> 160   24.00      0  31        1         0
#> 143   24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 120   24.00      0  68        0         1
#> 109   24.00      0  48        0         0
#> 87    24.00      0  27        0         0
#> 115   24.00      0  NA        1         0
#> 104   24.00      0  50        1         0
#> 19.1  24.00      0  57        0         1
#> 186   24.00      0  45        1         0
#> 7.1   24.00      0  37        1         0
#> 31    24.00      0  36        0         1
#> 137   24.00      0  45        1         0
#> 143.1 24.00      0  51        0         0
#> 31.1  24.00      0  36        0         1
#> 193   24.00      0  45        0         1
#> 75.1  24.00      0  21        1         0
#> 3     24.00      0  31        1         0
#> 121   24.00      0  57        1         0
#> 11.2  24.00      0  42        0         1
#> 120.1 24.00      0  68        0         1
#> 19.2  24.00      0  57        0         1
#> 161   24.00      0  45        0         0
#> 65    24.00      0  57        1         0
#> 38    24.00      0  31        1         0
#> 146   24.00      0  63        1         0
#> 67    24.00      0  25        0         0
#> 3.1   24.00      0  31        1         0
#> 33.1  24.00      0  53        0         0
#> 71    24.00      0  51        0         0
#> 19.3  24.00      0  57        0         1
#> 53    24.00      0  32        0         1
#> 64    24.00      0  43        0         0
#> 2.1   24.00      0   9        0         0
#> 172   24.00      0  41        0         0
#> 122   24.00      0  66        0         0
#> 22    24.00      0  52        1         0
#> 104.1 24.00      0  50        1         0
#> 103.1 24.00      0  56        1         0
#> 122.1 24.00      0  66        0         0
#> 35.1  24.00      0  51        0         0
#> 31.2  24.00      0  36        0         1
#> 200.1 24.00      0  64        0         0
#> 161.1 24.00      0  45        0         0
#> 126   24.00      0  48        0         0
#> 142   24.00      0  53        0         0
#> 112   24.00      0  61        0         0
#> 7.2   24.00      0  37        1         0
#> 162   24.00      0  51        0         0
#> 174   24.00      0  49        1         0
#> 178   24.00      0  52        1         0
#> 196   24.00      0  19        0         0
#> 11.3  24.00      0  42        0         1
#> 174.1 24.00      0  49        1         0
#> 186.1 24.00      0  45        1         0
#> 94    24.00      0  51        0         1
#> 27    24.00      0  63        1         0
#> 138   24.00      0  44        1         0
#> 62.1  24.00      0  71        0         0
#> 17    24.00      0  38        0         1
#> 103.2 24.00      0  56        1         0
#> 118   24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 38.1  24.00      0  31        1         0
#> 193.1 24.00      0  45        0         1
#> 9     24.00      0  31        1         0
#> 143.2 24.00      0  51        0         0
#> 7.3   24.00      0  37        1         0
#> 147   24.00      0  76        1         0
#> 103.3 24.00      0  56        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.944         NA        NA      NA
#> 2 age, Cure model           0.0108        NA        NA      NA
#> 3 grade_ii, Cure model      0.790         NA        NA      NA
#> 4 grade_iii, Cure model     0.906         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0180        NA        NA      NA
#> 2 grade_ii, Survival model    0.413         NA        NA      NA
#> 3 grade_iii, Survival model   1.04          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.94392           0.01078           0.79017           0.90573  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.8 
#> Residual Deviance: 248.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.94392165       0.01077687       0.79016880       0.90572625 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01800658       0.41272325       1.04122943 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.6344841732 0.2671468143 0.9239517816 0.2281205732 0.4895362615
#>   [6] 0.9620797274 0.7096852972 0.8737501141 0.0962704236 0.7478644842
#>  [11] 0.1979728536 0.0104107447 0.8737501141 0.6846998280 0.9112495626
#>  [16] 0.7223718510 0.1682270465 0.0069359214 0.6099981350 0.0962704236
#>  [21] 0.0379219942 0.7982518789 0.3633908893 0.3968096314 0.0726499215
#>  [26] 0.0104107447 0.5616617673 0.3095897033 0.5736067994 0.9620797274
#>  [31] 0.0039058160 0.4426552309 0.4195757831 0.3307032292 0.8361568189
#>  [36] 0.7350708033 0.7731035366 0.0285231211 0.7731035366 0.9239517816
#>  [41] 0.6846998280 0.0002248113 0.1682270465 0.0104107447 0.6099981350
#>  [46] 0.0104107447 0.2882836534 0.0591843673 0.0801199428 0.0379219942
#>  [51] 0.8486979391 0.8486979391 0.2080161910 0.4082200289 0.3415662067
#>  [56] 0.2281205732 0.4895362615 0.3095897033 0.6594302426 0.1877197943
#>  [61] 0.4542105608 0.0880047056 0.4542105608 0.5263927416 0.2281205732
#>  [66] 0.0104107447 0.2080161910 0.9620797274 0.2776908384 0.6720105600
#>  [71] 0.1580958040 0.5263927416 0.2281205732 0.0019670649 0.5856668238
#>  [76] 0.1216457617 0.6344841732 0.7478644842 0.0379219942 0.0330291897
#>  [81] 0.1216457617 0.0104107447 0.0591843673 0.0962704236 0.8737501141
#>  [86] 0.5138804669 0.3856119306 0.5263927416 0.3523979479 0.4775536460
#>  [91] 0.1216457617 0.0379219942 0.2987934107 0.5977861970 0.3633908893
#>  [96] 0.9493068481 0.8236628092 0.4195757831 0.8109044645 0.1482819661
#> [101] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000
#> 
#> $Time
#>   140   184    25    40   157   127    49    70   153   159   108   129  70.1 
#> 12.68 17.77  6.32 18.00 15.10  3.53 12.19  7.38 21.33 10.55 18.29 23.41  7.38 
#>    42    77    43    76   164   123 153.1   169    93    79   100   175 129.1 
#> 12.43  7.27 12.10 19.22 23.60 13.00 21.33 22.41 10.33 16.23 16.07 21.91 23.41 
#>    57    45    81 127.1   168    39   125   106   187   107    52    63  52.1 
#> 14.46 17.42 14.06  3.53 23.72 15.59 15.65 16.67  9.92 11.18 10.42 22.77 10.42 
#>  25.1  42.1    78  76.1 129.2 123.1 129.3   111    66   197 169.1    16  16.1 
#>  6.32 12.43 23.88 19.22 23.41 13.00 23.41 17.45 22.13 21.60 22.41  8.71  8.71 
#>    41    26   130  40.1 157.1  45.1   154     8   167   139 167.1    96  40.2 
#> 18.02 15.77 16.47 18.00 15.10 17.42 12.63 18.43 15.55 21.49 15.55 14.54 18.00 
#> 129.4  41.1 127.2   110    37    58  96.1  40.3    86    60    32 140.1 159.1 
#> 23.41 18.02  3.53 17.56 12.52 19.34 14.54 18.00 23.81 13.15 20.90 12.68 10.55 
#> 169.2    15  32.1 129.5  66.1 153.2  70.2   133   188  96.2    85    29  32.2 
#> 22.41 22.68 20.90 23.41 22.13 21.33  7.38 14.65 16.16 14.54 16.44 15.45 20.90 
#> 169.3    30   155  79.1    91   101 125.1   145    68    11    83    35    33 
#> 22.41 17.43 13.08 16.23  5.33  9.97 15.65 10.07 20.62 24.00 24.00 24.00 24.00 
#>     7    62    75  11.1   163   103    12   191   165    82     2    84   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160   143    19   120   109    87   104  19.1   186   7.1    31   137 143.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  31.1   193  75.1     3   121  11.2 120.1  19.2   161    65    38   146    67 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.1  33.1    71  19.3    53    64   2.1   172   122    22 104.1 103.1 122.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  35.1  31.2 200.1 161.1   126   142   112   7.2   162   174   178   196  11.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 174.1 186.1    94    27   138  62.1    17 103.2   118    80  38.1 193.1     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 143.2   7.3   147 103.3 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[22]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.008053544               0.883439390               0.532717765 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.45863526              0.00257302              0.56877456 
#>   grade_iii, Cure model 
#>              0.95484331 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 37    12.52      1  57        1         0
#> 188   16.16      1  46        0         1
#> 18    15.21      1  49        1         0
#> 100   16.07      1  60        0         0
#> 77     7.27      1  67        0         1
#> 49    12.19      1  48        1         0
#> 187    9.92      1  39        1         0
#> 10    10.53      1  34        0         0
#> 164   23.60      1  76        0         1
#> 93    10.33      1  52        0         1
#> 79    16.23      1  54        1         0
#> 124    9.73      1  NA        1         0
#> 189   10.51      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 37.1  12.52      1  57        1         0
#> 101    9.97      1  10        0         1
#> 113   22.86      1  34        0         0
#> 76    19.22      1  54        0         1
#> 40    18.00      1  28        1         0
#> 45    17.42      1  54        0         1
#> 91     5.33      1  61        0         1
#> 181   16.46      1  45        0         1
#> 4     17.64      1  NA        0         1
#> 127.1  3.53      1  62        0         1
#> 32    20.90      1  37        1         0
#> 189.1 10.51      1  NA        1         0
#> 66    22.13      1  53        0         0
#> 157   15.10      1  47        0         0
#> 40.1  18.00      1  28        1         0
#> 51    18.23      1  83        0         1
#> 159   10.55      1  50        0         1
#> 134   17.81      1  47        1         0
#> 192   16.44      1  31        1         0
#> 181.1 16.46      1  45        0         1
#> 190   20.81      1  42        1         0
#> 167   15.55      1  56        1         0
#> 158   20.14      1  74        1         0
#> 110   17.56      1  65        0         1
#> 42    12.43      1  49        0         1
#> 133   14.65      1  57        0         0
#> 169   22.41      1  46        0         0
#> 106   16.67      1  49        1         0
#> 81    14.06      1  34        0         0
#> 14    12.89      1  21        0         0
#> 130   16.47      1  53        0         1
#> 133.1 14.65      1  57        0         0
#> 190.1 20.81      1  42        1         0
#> 86    23.81      1  58        0         1
#> 128   20.35      1  35        0         1
#> 171   16.57      1  41        0         1
#> 113.1 22.86      1  34        0         0
#> 199   19.81      1  NA        0         1
#> 77.1   7.27      1  67        0         1
#> 91.1   5.33      1  61        0         1
#> 154   12.63      1  20        1         0
#> 81.1  14.06      1  34        0         0
#> 177   12.53      1  75        0         0
#> 79.1  16.23      1  54        1         0
#> 14.1  12.89      1  21        0         0
#> 164.1 23.60      1  76        0         1
#> 129   23.41      1  53        1         0
#> 86.1  23.81      1  58        0         1
#> 40.2  18.00      1  28        1         0
#> 93.1  10.33      1  52        0         1
#> 157.1 15.10      1  47        0         0
#> 169.1 22.41      1  46        0         0
#> 125   15.65      1  67        1         0
#> 24    23.89      1  38        0         0
#> 150   20.33      1  48        0         0
#> 107   11.18      1  54        1         0
#> 117   17.46      1  26        0         1
#> 92    22.92      1  47        0         1
#> 134.1 17.81      1  47        1         0
#> 24.1  23.89      1  38        0         0
#> 187.1  9.92      1  39        1         0
#> 197   21.60      1  69        1         0
#> 99    21.19      1  38        0         1
#> 105   19.75      1  60        0         0
#> 25     6.32      1  34        1         0
#> 70     7.38      1  30        1         0
#> 195   11.76      1  NA        1         0
#> 150.1 20.33      1  48        0         0
#> 70.1   7.38      1  30        1         0
#> 50    10.02      1  NA        1         0
#> 50.1  10.02      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 25.1   6.32      1  34        1         0
#> 117.1 17.46      1  26        0         1
#> 51.1  18.23      1  83        0         1
#> 111.1 17.45      1  47        0         1
#> 168   23.72      1  70        0         0
#> 99.1  21.19      1  38        0         1
#> 177.1 12.53      1  75        0         0
#> 86.2  23.81      1  58        0         1
#> 117.2 17.46      1  26        0         1
#> 79.2  16.23      1  54        1         0
#> 51.2  18.23      1  83        0         1
#> 96    14.54      1  33        0         1
#> 24.2  23.89      1  38        0         0
#> 70.2   7.38      1  30        1         0
#> 171.1 16.57      1  41        0         1
#> 51.3  18.23      1  83        0         1
#> 188.1 16.16      1  46        0         1
#> 117.3 17.46      1  26        0         1
#> 89    11.44      1  NA        0         0
#> 105.1 19.75      1  60        0         0
#> 24.3  23.89      1  38        0         0
#> 10.1  10.53      1  34        0         0
#> 154.1 12.63      1  20        1         0
#> 114   13.68      1  NA        0         0
#> 49.1  12.19      1  48        1         0
#> 60    13.15      1  38        1         0
#> 191   24.00      0  60        0         1
#> 173   24.00      0  19        0         1
#> 173.1 24.00      0  19        0         1
#> 102   24.00      0  49        0         0
#> 65    24.00      0  57        1         0
#> 151   24.00      0  42        0         0
#> 144   24.00      0  28        0         1
#> 147   24.00      0  76        1         0
#> 112   24.00      0  61        0         0
#> 142   24.00      0  53        0         0
#> 2     24.00      0   9        0         0
#> 132   24.00      0  55        0         0
#> 178   24.00      0  52        1         0
#> 132.1 24.00      0  55        0         0
#> 147.1 24.00      0  76        1         0
#> 148   24.00      0  61        1         0
#> 116   24.00      0  58        0         1
#> 122   24.00      0  66        0         0
#> 104   24.00      0  50        1         0
#> 2.1   24.00      0   9        0         0
#> 152   24.00      0  36        0         1
#> 186   24.00      0  45        1         0
#> 191.1 24.00      0  60        0         1
#> 138   24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 152.1 24.00      0  36        0         1
#> 138.1 24.00      0  44        1         0
#> 147.2 24.00      0  76        1         0
#> 1     24.00      0  23        1         0
#> 2.2   24.00      0   9        0         0
#> 21    24.00      0  47        0         0
#> 198   24.00      0  66        0         1
#> 35    24.00      0  51        0         0
#> 95    24.00      0  68        0         1
#> 9     24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 196   24.00      0  19        0         0
#> 31    24.00      0  36        0         1
#> 112.1 24.00      0  61        0         0
#> 161   24.00      0  45        0         0
#> 198.1 24.00      0  66        0         1
#> 165   24.00      0  47        0         0
#> 120   24.00      0  68        0         1
#> 131   24.00      0  66        0         0
#> 47    24.00      0  38        0         1
#> 74    24.00      0  43        0         1
#> 17    24.00      0  38        0         1
#> 182   24.00      0  35        0         0
#> 46    24.00      0  71        0         0
#> 148.1 24.00      0  61        1         0
#> 135   24.00      0  58        1         0
#> 94    24.00      0  51        0         1
#> 146   24.00      0  63        1         0
#> 87    24.00      0  27        0         0
#> 115   24.00      0  NA        1         0
#> 71    24.00      0  51        0         0
#> 146.1 24.00      0  63        1         0
#> 104.1 24.00      0  50        1         0
#> 11    24.00      0  42        0         1
#> 11.1  24.00      0  42        0         1
#> 27    24.00      0  63        1         0
#> 126   24.00      0  48        0         0
#> 38    24.00      0  31        1         0
#> 144.1 24.00      0  28        0         1
#> 119   24.00      0  17        0         0
#> 131.1 24.00      0  66        0         0
#> 151.1 24.00      0  42        0         0
#> 71.1  24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 148.2 24.00      0  61        1         0
#> 162   24.00      0  51        0         0
#> 142.1 24.00      0  53        0         0
#> 142.2 24.00      0  53        0         0
#> 131.2 24.00      0  66        0         0
#> 185   24.00      0  44        1         0
#> 138.2 24.00      0  44        1         0
#> 3     24.00      0  31        1         0
#> 71.2  24.00      0  51        0         0
#> 64    24.00      0  43        0         0
#> 38.1  24.00      0  31        1         0
#> 182.1 24.00      0  35        0         0
#> 161.1 24.00      0  45        0         0
#> 131.3 24.00      0  66        0         0
#> 20    24.00      0  46        1         0
#> 75    24.00      0  21        1         0
#> 165.1 24.00      0  47        0         0
#> 53    24.00      0  32        0         1
#> 152.2 24.00      0  36        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.459          NA        NA      NA
#> 2 age, Cure model          0.00257        NA        NA      NA
#> 3 grade_ii, Cure model     0.569          NA        NA      NA
#> 4 grade_iii, Cure model    0.955          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00805        NA        NA      NA
#> 2 grade_ii, Survival model   0.883          NA        NA      NA
#> 3 grade_iii, Survival model  0.533          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.458635          0.002573          0.568775          0.954843  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 253.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.45863526       0.00257302       0.56877456       0.95484331 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.008053544      0.883439390      0.532717765 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.79100566 0.61253327 0.65748351 0.63044516 0.93536663 0.81717617
#>   [7] 0.89422044 0.85147855 0.09138523 0.86860196 0.58572581 0.98391208
#>  [13] 0.79100566 0.88568475 0.13915278 0.33638966 0.39132872 0.50987076
#>  [19] 0.96781523 0.55764771 0.98391208 0.23688014 0.18719602 0.66635776
#>  [25] 0.39132872 0.34766897 0.84291482 0.42212218 0.57640492 0.55764771
#>  [31] 0.24868772 0.64853311 0.30310682 0.44225820 0.80843038 0.68413633
#>  [37] 0.16262320 0.51960237 0.71108447 0.73803901 0.54812897 0.68413633
#>  [43] 0.24868772 0.04834368 0.27029262 0.52922043 0.13915278 0.93536663
#>  [49] 0.96781523 0.75592601 0.71108447 0.77337565 0.58572581 0.73803901
#>  [55] 0.09138523 0.11542048 0.04834368 0.39132872 0.86860196 0.66635776
#>  [61] 0.16262320 0.63951538 0.01243240 0.28119330 0.83433900 0.45244133
#>  [67] 0.12737831 0.42212218 0.01243240 0.89422044 0.20022221 0.21292819
#>  [73] 0.31413392 0.95170705 0.91096628 0.28119330 0.91096628 0.49055577
#>  [79] 0.95170705 0.45244133 0.34766897 0.49055577 0.07874612 0.21292819
#>  [85] 0.77337565 0.04834368 0.45244133 0.58572581 0.34766897 0.70208663
#>  [91] 0.01243240 0.91096628 0.52922043 0.34766897 0.61253327 0.45244133
#>  [97] 0.31413392 0.01243240 0.85147855 0.75592601 0.81717617 0.72907468
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    37   188    18   100    77    49   187    10   164    93    79   127  37.1 
#> 12.52 16.16 15.21 16.07  7.27 12.19  9.92 10.53 23.60 10.33 16.23  3.53 12.52 
#>   101   113    76    40    45    91   181 127.1    32    66   157  40.1    51 
#>  9.97 22.86 19.22 18.00 17.42  5.33 16.46  3.53 20.90 22.13 15.10 18.00 18.23 
#>   159   134   192 181.1   190   167   158   110    42   133   169   106    81 
#> 10.55 17.81 16.44 16.46 20.81 15.55 20.14 17.56 12.43 14.65 22.41 16.67 14.06 
#>    14   130 133.1 190.1    86   128   171 113.1  77.1  91.1   154  81.1   177 
#> 12.89 16.47 14.65 20.81 23.81 20.35 16.57 22.86  7.27  5.33 12.63 14.06 12.53 
#>  79.1  14.1 164.1   129  86.1  40.2  93.1 157.1 169.1   125    24   150   107 
#> 16.23 12.89 23.60 23.41 23.81 18.00 10.33 15.10 22.41 15.65 23.89 20.33 11.18 
#>   117    92 134.1  24.1 187.1   197    99   105    25    70 150.1  70.1   111 
#> 17.46 22.92 17.81 23.89  9.92 21.60 21.19 19.75  6.32  7.38 20.33  7.38 17.45 
#>  25.1 117.1  51.1 111.1   168  99.1 177.1  86.2 117.2  79.2  51.2    96  24.2 
#>  6.32 17.46 18.23 17.45 23.72 21.19 12.53 23.81 17.46 16.23 18.23 14.54 23.89 
#>  70.2 171.1  51.3 188.1 117.3 105.1  24.3  10.1 154.1  49.1    60   191   173 
#>  7.38 16.57 18.23 16.16 17.46 19.75 23.89 10.53 12.63 12.19 13.15 24.00 24.00 
#> 173.1   102    65   151   144   147   112   142     2   132   178 132.1 147.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148   116   122   104   2.1   152   186 191.1   138    82 152.1 138.1 147.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1   2.2    21   198    35    95     9    28   196    31 112.1   161 198.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165   120   131    47    74    17   182    46 148.1   135    94   146    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71 146.1 104.1    11  11.1    27   126    38 144.1   119 131.1 151.1  71.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83 148.2   162 142.1 142.2 131.2   185 138.2     3  71.2    64  38.1 182.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.1 131.3    20    75 165.1    53 152.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[23]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.02266937                0.33285823                0.28467699 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.82803321              0.01016474              0.46646189 
#>   grade_iii, Cure model 
#>              1.23114772 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 63    22.77      1  31        1         0
#> 36    21.19      1  48        0         1
#> 96    14.54      1  33        0         1
#> 149    8.37      1  33        1         0
#> 56    12.21      1  60        0         0
#> 45    17.42      1  54        0         1
#> 183    9.24      1  67        1         0
#> 91     5.33      1  61        0         1
#> 107   11.18      1  54        1         0
#> 153   21.33      1  55        1         0
#> 171   16.57      1  41        0         1
#> 76    19.22      1  54        0         1
#> 26    15.77      1  49        0         1
#> 24    23.89      1  38        0         0
#> 55    19.34      1  69        0         1
#> 81    14.06      1  34        0         0
#> 167   15.55      1  56        1         0
#> 29    15.45      1  68        1         0
#> 125   15.65      1  67        1         0
#> 49    12.19      1  48        1         0
#> 183.1  9.24      1  67        1         0
#> 111   17.45      1  47        0         1
#> 79    16.23      1  54        1         0
#> 157   15.10      1  47        0         0
#> 90    20.94      1  50        0         1
#> 130   16.47      1  53        0         1
#> 24.1  23.89      1  38        0         0
#> 195   11.76      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 5     16.43      1  51        0         1
#> 153.1 21.33      1  55        1         0
#> 194   22.40      1  38        0         1
#> 117   17.46      1  26        0         1
#> 90.1  20.94      1  50        0         1
#> 91.1   5.33      1  61        0         1
#> 106   16.67      1  49        1         0
#> 155   13.08      1  26        0         0
#> 51    18.23      1  83        0         1
#> 59    10.16      1  NA        1         0
#> 40    18.00      1  28        1         0
#> 23    16.92      1  61        0         0
#> 39    15.59      1  37        0         1
#> 140   12.68      1  59        1         0
#> 70     7.38      1  30        1         0
#> 49.1  12.19      1  48        1         0
#> 79.1  16.23      1  54        1         0
#> 177.1 12.53      1  75        0         0
#> 89    11.44      1  NA        0         0
#> 68    20.62      1  44        0         0
#> 57    14.46      1  45        0         1
#> 41    18.02      1  40        1         0
#> 26.1  15.77      1  49        0         1
#> 79.2  16.23      1  54        1         0
#> 117.1 17.46      1  26        0         1
#> 197   21.60      1  69        1         0
#> 166   19.98      1  48        0         0
#> 150   20.33      1  48        0         0
#> 113   22.86      1  34        0         0
#> 76.1  19.22      1  54        0         1
#> 50    10.02      1  NA        1         0
#> 134   17.81      1  47        1         0
#> 136   21.83      1  43        0         1
#> 195.1 11.76      1  NA        1         0
#> 194.1 22.40      1  38        0         1
#> 150.1 20.33      1  48        0         0
#> 76.2  19.22      1  54        0         1
#> 100   16.07      1  60        0         0
#> 57.1  14.46      1  45        0         1
#> 167.1 15.55      1  56        1         0
#> 166.1 19.98      1  48        0         0
#> 88    18.37      1  47        0         0
#> 43    12.10      1  61        0         1
#> 43.1  12.10      1  61        0         1
#> 32    20.90      1  37        1         0
#> 85    16.44      1  36        0         0
#> 85.1  16.44      1  36        0         0
#> 110   17.56      1  65        0         1
#> 145   10.07      1  65        1         0
#> 169   22.41      1  46        0         0
#> 177.2 12.53      1  75        0         0
#> 134.1 17.81      1  47        1         0
#> 8     18.43      1  32        0         0
#> 13    14.34      1  54        0         1
#> 77     7.27      1  67        0         1
#> 134.2 17.81      1  47        1         0
#> 18    15.21      1  49        1         0
#> 179   18.63      1  42        0         0
#> 8.1   18.43      1  32        0         0
#> 51.1  18.23      1  83        0         1
#> 89.1  11.44      1  NA        0         0
#> 63.1  22.77      1  31        1         0
#> 69    23.23      1  25        0         1
#> 150.2 20.33      1  48        0         0
#> 159   10.55      1  50        0         1
#> 88.1  18.37      1  47        0         0
#> 25     6.32      1  34        1         0
#> 97    19.14      1  65        0         1
#> 149.1  8.37      1  33        1         0
#> 153.2 21.33      1  55        1         0
#> 58    19.34      1  39        0         0
#> 49.2  12.19      1  48        1         0
#> 91.2   5.33      1  61        0         1
#> 91.3   5.33      1  61        0         1
#> 171.1 16.57      1  41        0         1
#> 52    10.42      1  52        0         1
#> 158   20.14      1  74        1         0
#> 10    10.53      1  34        0         0
#> 183.2  9.24      1  67        1         0
#> 43.2  12.10      1  61        0         1
#> 190   20.81      1  42        1         0
#> 183.3  9.24      1  67        1         0
#> 189   10.51      1  NA        1         0
#> 176   24.00      0  43        0         1
#> 20    24.00      0  46        1         0
#> 135   24.00      0  58        1         0
#> 71    24.00      0  51        0         0
#> 122   24.00      0  66        0         0
#> 33    24.00      0  53        0         0
#> 178   24.00      0  52        1         0
#> 64    24.00      0  43        0         0
#> 20.1  24.00      0  46        1         0
#> 126   24.00      0  48        0         0
#> 104   24.00      0  50        1         0
#> 178.1 24.00      0  52        1         0
#> 198   24.00      0  66        0         1
#> 62    24.00      0  71        0         0
#> 103   24.00      0  56        1         0
#> 161   24.00      0  45        0         0
#> 54    24.00      0  53        1         0
#> 67    24.00      0  25        0         0
#> 137   24.00      0  45        1         0
#> 185   24.00      0  44        1         0
#> 174   24.00      0  49        1         0
#> 67.1  24.00      0  25        0         0
#> 46    24.00      0  71        0         0
#> 80    24.00      0  41        0         0
#> 186   24.00      0  45        1         0
#> 191   24.00      0  60        0         1
#> 54.1  24.00      0  53        1         0
#> 109   24.00      0  48        0         0
#> 72    24.00      0  40        0         1
#> 104.1 24.00      0  50        1         0
#> 141   24.00      0  44        1         0
#> 67.2  24.00      0  25        0         0
#> 65    24.00      0  57        1         0
#> 21    24.00      0  47        0         0
#> 103.1 24.00      0  56        1         0
#> 172   24.00      0  41        0         0
#> 148   24.00      0  61        1         0
#> 120   24.00      0  68        0         1
#> 75    24.00      0  21        1         0
#> 142   24.00      0  53        0         0
#> 7     24.00      0  37        1         0
#> 44    24.00      0  56        0         0
#> 132   24.00      0  55        0         0
#> 83    24.00      0   6        0         0
#> 120.1 24.00      0  68        0         1
#> 74    24.00      0  43        0         1
#> 143   24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 116   24.00      0  58        0         1
#> 148.1 24.00      0  61        1         0
#> 11    24.00      0  42        0         1
#> 9     24.00      0  31        1         0
#> 143.1 24.00      0  51        0         0
#> 62.1  24.00      0  71        0         0
#> 176.1 24.00      0  43        0         1
#> 94    24.00      0  51        0         1
#> 20.2  24.00      0  46        1         0
#> 28    24.00      0  67        1         0
#> 165   24.00      0  47        0         0
#> 65.1  24.00      0  57        1         0
#> 21.1  24.00      0  47        0         0
#> 104.2 24.00      0  50        1         0
#> 35    24.00      0  51        0         0
#> 83.1  24.00      0   6        0         0
#> 94.1  24.00      0  51        0         1
#> 182   24.00      0  35        0         0
#> 174.1 24.00      0  49        1         0
#> 102   24.00      0  49        0         0
#> 137.1 24.00      0  45        1         0
#> 84    24.00      0  39        0         1
#> 165.1 24.00      0  47        0         0
#> 135.1 24.00      0  58        1         0
#> 84.1  24.00      0  39        0         1
#> 112   24.00      0  61        0         0
#> 47    24.00      0  38        0         1
#> 102.1 24.00      0  49        0         0
#> 185.1 24.00      0  44        1         0
#> 3     24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 143.2 24.00      0  51        0         0
#> 163   24.00      0  66        0         0
#> 200   24.00      0  64        0         0
#> 34    24.00      0  36        0         0
#> 162   24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 182.1 24.00      0  35        0         0
#> 82    24.00      0  34        0         0
#> 33.1  24.00      0  53        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.828         NA        NA      NA
#> 2 age, Cure model           0.0102        NA        NA      NA
#> 3 grade_ii, Cure model      0.466         NA        NA      NA
#> 4 grade_iii, Cure model     1.23          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0227        NA        NA      NA
#> 2 grade_ii, Survival model    0.333         NA        NA      NA
#> 3 grade_iii, Survival model   0.285         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.82803           0.01016           0.46646           1.23115  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    266.1 
#> Residual Deviance: 253.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.82803321       0.01016474       0.46646189       1.23114772 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.02266937       0.33285823       0.28467699 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.3969506 0.5930176 0.9048228 0.9786853 0.9358303 0.8215751 0.9688259
#>   [8] 0.9908254 0.9554750 0.5576243 0.8345027 0.7148306 0.8737898 0.2026906
#>  [15] 0.7008956 0.9176159 0.8880931 0.8949024 0.8810270 0.9387611 0.9688259
#>  [22] 0.8171129 0.8588191 0.9015445 0.6043786 0.8427610 0.2026906 0.9269853
#>  [29] 0.8548572 0.5576243 0.4804733 0.8080722 0.6043786 0.9908254 0.8302637
#>  [36] 0.9207598 0.7690113 0.7843329 0.8259535 0.8845747 0.9238952 0.9835794
#>  [43] 0.9387611 0.8588191 0.9269853 0.6437704 0.9080798 0.7792691 0.8737898
#>  [50] 0.8588191 0.8080722 0.5415509 0.6859546 0.6529659 0.3562230 0.7148306
#>  [57] 0.7893439 0.5222282 0.4804733 0.6529659 0.7148306 0.8700699 0.9080798
#>  [64] 0.8880931 0.6859546 0.7575751 0.9472765 0.9472765 0.6245377 0.8468320
#>  [71] 0.8468320 0.8034670 0.9662079 0.4540924 0.9269853 0.7893439 0.7458008
#>  [78] 0.9144593 0.9860188 0.7893439 0.8982433 0.7397887 0.7458008 0.7690113
#>  [85] 0.3969506 0.3092765 0.6529659 0.9581866 0.7575751 0.9884280 0.7336978
#>  [92] 0.9786853 0.5576243 0.7008956 0.9387611 0.9908254 0.9908254 0.8345027
#>  [99] 0.9635534 0.6781045 0.9608743 0.9688259 0.9472765 0.6343446 0.9688259
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [190] 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    63    36    96   149    56    45   183    91   107   153   171    76    26 
#> 22.77 21.19 14.54  8.37 12.21 17.42  9.24  5.33 11.18 21.33 16.57 19.22 15.77 
#>    24    55    81   167    29   125    49 183.1   111    79   157    90   130 
#> 23.89 19.34 14.06 15.55 15.45 15.65 12.19  9.24 17.45 16.23 15.10 20.94 16.47 
#>  24.1   177     5 153.1   194   117  90.1  91.1   106   155    51    40    23 
#> 23.89 12.53 16.43 21.33 22.40 17.46 20.94  5.33 16.67 13.08 18.23 18.00 16.92 
#>    39   140    70  49.1  79.1 177.1    68    57    41  26.1  79.2 117.1   197 
#> 15.59 12.68  7.38 12.19 16.23 12.53 20.62 14.46 18.02 15.77 16.23 17.46 21.60 
#>   166   150   113  76.1   134   136 194.1 150.1  76.2   100  57.1 167.1 166.1 
#> 19.98 20.33 22.86 19.22 17.81 21.83 22.40 20.33 19.22 16.07 14.46 15.55 19.98 
#>    88    43  43.1    32    85  85.1   110   145   169 177.2 134.1     8    13 
#> 18.37 12.10 12.10 20.90 16.44 16.44 17.56 10.07 22.41 12.53 17.81 18.43 14.34 
#>    77 134.2    18   179   8.1  51.1  63.1    69 150.2   159  88.1    25    97 
#>  7.27 17.81 15.21 18.63 18.43 18.23 22.77 23.23 20.33 10.55 18.37  6.32 19.14 
#> 149.1 153.2    58  49.2  91.2  91.3 171.1    52   158    10 183.2  43.2   190 
#>  8.37 21.33 19.34 12.19  5.33  5.33 16.57 10.42 20.14 10.53  9.24 12.10 20.81 
#> 183.3   176    20   135    71   122    33   178    64  20.1   126   104 178.1 
#>  9.24 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198    62   103   161    54    67   137   185   174  67.1    46    80   186 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   191  54.1   109    72 104.1   141  67.2    65    21 103.1   172   148   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75   142     7    44   132    83 120.1    74   143   118   116 148.1    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9 143.1  62.1 176.1    94  20.2    28   165  65.1  21.1 104.2    35  83.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.1   182 174.1   102 137.1    84 165.1 135.1  84.1   112    47 102.1 185.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3    53 143.2   163   200    34   162   119 182.1    82  33.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[24]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01004768                0.26687182               -0.06572291 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.48476791              0.01012333              0.05580768 
#>   grade_iii, Cure model 
#>              0.45069105 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 136   21.83      1  43        0         1
#> 129   23.41      1  53        1         0
#> 177   12.53      1  75        0         0
#> 61    10.12      1  36        0         1
#> 55    19.34      1  69        0         1
#> 90    20.94      1  50        0         1
#> 68    20.62      1  44        0         0
#> 154   12.63      1  20        1         0
#> 124    9.73      1  NA        1         0
#> 86    23.81      1  58        0         1
#> 86.1  23.81      1  58        0         1
#> 130   16.47      1  53        0         1
#> 181   16.46      1  45        0         1
#> 113   22.86      1  34        0         0
#> 8     18.43      1  32        0         0
#> 63    22.77      1  31        1         0
#> 183    9.24      1  67        1         0
#> 153   21.33      1  55        1         0
#> 57    14.46      1  45        0         1
#> 4     17.64      1  NA        0         1
#> 63.1  22.77      1  31        1         0
#> 187    9.92      1  39        1         0
#> 166   19.98      1  48        0         0
#> 145   10.07      1  65        1         0
#> 5     16.43      1  51        0         1
#> 85    16.44      1  36        0         0
#> 124.1  9.73      1  NA        1         0
#> 14    12.89      1  21        0         0
#> 136.1 21.83      1  43        0         1
#> 170   19.54      1  43        0         1
#> 194   22.40      1  38        0         1
#> 81    14.06      1  34        0         0
#> 140   12.68      1  59        1         0
#> 159   10.55      1  50        0         1
#> 81.1  14.06      1  34        0         0
#> 91     5.33      1  61        0         1
#> 136.2 21.83      1  43        0         1
#> 39    15.59      1  37        0         1
#> 93    10.33      1  52        0         1
#> 199   19.81      1  NA        0         1
#> 164   23.60      1  76        0         1
#> 91.1   5.33      1  61        0         1
#> 157   15.10      1  47        0         0
#> 108   18.29      1  39        0         1
#> 150   20.33      1  48        0         0
#> 199.1 19.81      1  NA        0         1
#> 32    20.90      1  37        1         0
#> 157.1 15.10      1  47        0         0
#> 5.1   16.43      1  51        0         1
#> 58    19.34      1  39        0         0
#> 81.2  14.06      1  34        0         0
#> 88    18.37      1  47        0         0
#> 128   20.35      1  35        0         1
#> 23    16.92      1  61        0         0
#> 61.1  10.12      1  36        0         1
#> 79    16.23      1  54        1         0
#> 86.2  23.81      1  58        0         1
#> 187.1  9.92      1  39        1         0
#> 97    19.14      1  65        0         1
#> 168   23.72      1  70        0         0
#> 92    22.92      1  47        0         1
#> 157.2 15.10      1  47        0         0
#> 14.1  12.89      1  21        0         0
#> 117   17.46      1  26        0         1
#> 167   15.55      1  56        1         0
#> 177.1 12.53      1  75        0         0
#> 55.1  19.34      1  69        0         1
#> 192   16.44      1  31        1         0
#> 70     7.38      1  30        1         0
#> 136.3 21.83      1  43        0         1
#> 111   17.45      1  47        0         1
#> 39.1  15.59      1  37        0         1
#> 179   18.63      1  42        0         0
#> 58.1  19.34      1  39        0         0
#> 114   13.68      1  NA        0         0
#> 133   14.65      1  57        0         0
#> 18    15.21      1  49        1         0
#> 168.1 23.72      1  70        0         0
#> 179.1 18.63      1  42        0         0
#> 158   20.14      1  74        1         0
#> 14.2  12.89      1  21        0         0
#> 114.1 13.68      1  NA        0         0
#> 55.2  19.34      1  69        0         1
#> 187.2  9.92      1  39        1         0
#> 61.2  10.12      1  36        0         1
#> 99    21.19      1  38        0         1
#> 175   21.91      1  43        0         0
#> 99.1  21.19      1  38        0         1
#> 195   11.76      1  NA        1         0
#> 77     7.27      1  67        0         1
#> 153.1 21.33      1  55        1         0
#> 29    15.45      1  68        1         0
#> 192.1 16.44      1  31        1         0
#> 189   10.51      1  NA        1         0
#> 171   16.57      1  41        0         1
#> 42    12.43      1  49        0         1
#> 81.3  14.06      1  34        0         0
#> 89    11.44      1  NA        0         0
#> 169   22.41      1  46        0         0
#> 197   21.60      1  69        1         0
#> 88.1  18.37      1  47        0         0
#> 24    23.89      1  38        0         0
#> 170.1 19.54      1  43        0         1
#> 8.1   18.43      1  32        0         0
#> 32.1  20.90      1  37        1         0
#> 96    14.54      1  33        0         1
#> 25     6.32      1  34        1         0
#> 125   15.65      1  67        1         0
#> 149    8.37      1  33        1         0
#> 177.2 12.53      1  75        0         0
#> 55.3  19.34      1  69        0         1
#> 100   16.07      1  60        0         0
#> 152   24.00      0  36        0         1
#> 198   24.00      0  66        0         1
#> 165   24.00      0  47        0         0
#> 94    24.00      0  51        0         1
#> 84    24.00      0  39        0         1
#> 31    24.00      0  36        0         1
#> 46    24.00      0  71        0         0
#> 152.1 24.00      0  36        0         1
#> 173   24.00      0  19        0         1
#> 80    24.00      0  41        0         0
#> 138   24.00      0  44        1         0
#> 11    24.00      0  42        0         1
#> 80.1  24.00      0  41        0         0
#> 142   24.00      0  53        0         0
#> 53    24.00      0  32        0         1
#> 87    24.00      0  27        0         0
#> 162   24.00      0  51        0         0
#> 112   24.00      0  61        0         0
#> 120   24.00      0  68        0         1
#> 71    24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 118   24.00      0  44        1         0
#> 74    24.00      0  43        0         1
#> 64    24.00      0  43        0         0
#> 103   24.00      0  56        1         0
#> 198.1 24.00      0  66        0         1
#> 98    24.00      0  34        1         0
#> 174   24.00      0  49        1         0
#> 137   24.00      0  45        1         0
#> 152.2 24.00      0  36        0         1
#> 147   24.00      0  76        1         0
#> 104   24.00      0  50        1         0
#> 67    24.00      0  25        0         0
#> 75    24.00      0  21        1         0
#> 31.1  24.00      0  36        0         1
#> 12    24.00      0  63        0         0
#> 33    24.00      0  53        0         0
#> 102   24.00      0  49        0         0
#> 109   24.00      0  48        0         0
#> 17.1  24.00      0  38        0         1
#> 67.1  24.00      0  25        0         0
#> 87.1  24.00      0  27        0         0
#> 83    24.00      0   6        0         0
#> 104.1 24.00      0  50        1         0
#> 80.2  24.00      0  41        0         0
#> 200   24.00      0  64        0         0
#> 75.1  24.00      0  21        1         0
#> 7     24.00      0  37        1         0
#> 47    24.00      0  38        0         1
#> 17.2  24.00      0  38        0         1
#> 19    24.00      0  57        0         1
#> 94.1  24.00      0  51        0         1
#> 172   24.00      0  41        0         0
#> 7.1   24.00      0  37        1         0
#> 143   24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 152.3 24.00      0  36        0         1
#> 83.1  24.00      0   6        0         0
#> 172.1 24.00      0  41        0         0
#> 122   24.00      0  66        0         0
#> 142.1 24.00      0  53        0         0
#> 9     24.00      0  31        1         0
#> 165.1 24.00      0  47        0         0
#> 54    24.00      0  53        1         0
#> 148   24.00      0  61        1         0
#> 118.1 24.00      0  44        1         0
#> 112.1 24.00      0  61        0         0
#> 196   24.00      0  19        0         0
#> 186   24.00      0  45        1         0
#> 115   24.00      0  NA        1         0
#> 176   24.00      0  43        0         1
#> 72    24.00      0  40        0         1
#> 174.1 24.00      0  49        1         0
#> 147.1 24.00      0  76        1         0
#> 196.1 24.00      0  19        0         0
#> 1     24.00      0  23        1         0
#> 152.4 24.00      0  36        0         1
#> 62    24.00      0  71        0         0
#> 141   24.00      0  44        1         0
#> 94.2  24.00      0  51        0         1
#> 109.1 24.00      0  48        0         0
#> 95    24.00      0  68        0         1
#> 118.2 24.00      0  44        1         0
#> 137.1 24.00      0  45        1         0
#> 120.1 24.00      0  68        0         1
#> 135   24.00      0  58        1         0
#> 80.3  24.00      0  41        0         0
#> 131   24.00      0  66        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.485         NA        NA      NA
#> 2 age, Cure model           0.0101        NA        NA      NA
#> 3 grade_ii, Cure model      0.0558        NA        NA      NA
#> 4 grade_iii, Cure model     0.451         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0100        NA        NA      NA
#> 2 grade_ii, Survival model    0.267         NA        NA      NA
#> 3 grade_iii, Survival model  -0.0657        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.48477           0.01012           0.05581           0.45069  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 257.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.48476791       0.01012333       0.05580768       0.45069105 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01004768       0.26687182      -0.06572291 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.0567576046 0.0171478885 0.7195210329 0.8007807498 0.1888820369
#>   [6] 0.1123888710 0.1338607206 0.7063438355 0.0018592618 0.0018592618
#>  [11] 0.3590942758 0.3699601667 0.0262006342 0.2676043182 0.0311882883
#>  [16] 0.8987539128 0.0857227045 0.5913756089 0.0311882883 0.8566273961
#>  [21] 0.1645513665 0.8424320797 0.4133593552 0.3809566199 0.6545172823
#>  [26] 0.0567576046 0.1725924814 0.0457041924 0.6040819009 0.6931498739
#>  [31] 0.7731366761 0.6040819009 0.9707971860 0.0567576046 0.4704237499
#>  [36] 0.7869047318 0.0130650189 0.9707971860 0.5299132917 0.3068074214
#>  [41] 0.1489124323 0.1196364483 0.5299132917 0.4133593552 0.1888820369
#>  [46] 0.6040819009 0.2869537582 0.1413181691 0.3377784461 0.8007807498
#>  [51] 0.4357751716 0.0018592618 0.8566273961 0.2392110900 0.0070487009
#>  [56] 0.0214751410 0.5299132917 0.6545172823 0.3170236849 0.4938605429
#>  [61] 0.7195210329 0.1888820369 0.3809566199 0.9274550451 0.0567576046
#>  [66] 0.3273326195 0.4704237499 0.2486324854 0.1888820369 0.5662711016
#>  [71] 0.5178256817 0.0070487009 0.2486324854 0.1566578903 0.6545172823
#>  [76] 0.1888820369 0.8566273961 0.8007807498 0.0987302833 0.0511259500
#>  [81] 0.0987302833 0.9418202371 0.0857227045 0.5057947701 0.3809566199
#>  [86] 0.3483744399 0.7594740728 0.6040819009 0.0405053902 0.0792091039
#>  [91] 0.2869537582 0.0004296619 0.1725924814 0.2676043182 0.1196364483
#>  [96] 0.5787787254 0.9563008047 0.4587642187 0.9130974115 0.7195210329
#> [101] 0.1888820369 0.4472028106 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>   136   129   177    61    55    90    68   154    86  86.1   130   181   113 
#> 21.83 23.41 12.53 10.12 19.34 20.94 20.62 12.63 23.81 23.81 16.47 16.46 22.86 
#>     8    63   183   153    57  63.1   187   166   145     5    85    14 136.1 
#> 18.43 22.77  9.24 21.33 14.46 22.77  9.92 19.98 10.07 16.43 16.44 12.89 21.83 
#>   170   194    81   140   159  81.1    91 136.2    39    93   164  91.1   157 
#> 19.54 22.40 14.06 12.68 10.55 14.06  5.33 21.83 15.59 10.33 23.60  5.33 15.10 
#>   108   150    32 157.1   5.1    58  81.2    88   128    23  61.1    79  86.2 
#> 18.29 20.33 20.90 15.10 16.43 19.34 14.06 18.37 20.35 16.92 10.12 16.23 23.81 
#> 187.1    97   168    92 157.2  14.1   117   167 177.1  55.1   192    70 136.3 
#>  9.92 19.14 23.72 22.92 15.10 12.89 17.46 15.55 12.53 19.34 16.44  7.38 21.83 
#>   111  39.1   179  58.1   133    18 168.1 179.1   158  14.2  55.2 187.2  61.2 
#> 17.45 15.59 18.63 19.34 14.65 15.21 23.72 18.63 20.14 12.89 19.34  9.92 10.12 
#>    99   175  99.1    77 153.1    29 192.1   171    42  81.3   169   197  88.1 
#> 21.19 21.91 21.19  7.27 21.33 15.45 16.44 16.57 12.43 14.06 22.41 21.60 18.37 
#>    24 170.1   8.1  32.1    96    25   125   149 177.2  55.3   100   152   198 
#> 23.89 19.54 18.43 20.90 14.54  6.32 15.65  8.37 12.53 19.34 16.07 24.00 24.00 
#>   165    94    84    31    46 152.1   173    80   138    11  80.1   142    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87   162   112   120    71    17   118    74    64   103 198.1    98   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137 152.2   147   104    67    75  31.1    12    33   102   109  17.1  67.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.1    83 104.1  80.2   200  75.1     7    47  17.2    19  94.1   172   7.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143   126 152.3  83.1 172.1   122 142.1     9 165.1    54   148 118.1 112.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196   186   176    72 174.1 147.1 196.1     1 152.4    62   141  94.2 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95 118.2 137.1 120.1   135  80.3   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[25]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01221035                0.53767281                0.31080337 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.69816816              0.01616128             -0.22174839 
#>   grade_iii, Cure model 
#>              0.69462869 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 15    22.68      1  48        0         0
#> 127    3.53      1  62        0         1
#> 189   10.51      1  NA        1         0
#> 154   12.63      1  20        1         0
#> 51    18.23      1  83        0         1
#> 93    10.33      1  52        0         1
#> 16     8.71      1  71        0         1
#> 30    17.43      1  78        0         0
#> 110   17.56      1  65        0         1
#> 108   18.29      1  39        0         1
#> 99    21.19      1  38        0         1
#> 8     18.43      1  32        0         0
#> 180   14.82      1  37        0         0
#> 145   10.07      1  65        1         0
#> 32    20.90      1  37        1         0
#> 29    15.45      1  68        1         0
#> 133   14.65      1  57        0         0
#> 18    15.21      1  49        1         0
#> 158   20.14      1  74        1         0
#> 130   16.47      1  53        0         1
#> 61    10.12      1  36        0         1
#> 117   17.46      1  26        0         1
#> 57    14.46      1  45        0         1
#> 68    20.62      1  44        0         0
#> 150   20.33      1  48        0         0
#> 14    12.89      1  21        0         0
#> 10    10.53      1  34        0         0
#> 14.1  12.89      1  21        0         0
#> 4     17.64      1  NA        0         1
#> 155   13.08      1  26        0         0
#> 124    9.73      1  NA        1         0
#> 192   16.44      1  31        1         0
#> 77     7.27      1  67        0         1
#> 180.1 14.82      1  37        0         0
#> 123   13.00      1  44        1         0
#> 101    9.97      1  10        0         1
#> 195   11.76      1  NA        1         0
#> 110.1 17.56      1  65        0         1
#> 52    10.42      1  52        0         1
#> 183    9.24      1  67        1         0
#> 15.1  22.68      1  48        0         0
#> 85    16.44      1  36        0         0
#> 4.1   17.64      1  NA        0         1
#> 167   15.55      1  56        1         0
#> 59    10.16      1  NA        1         0
#> 140   12.68      1  59        1         0
#> 105   19.75      1  60        0         0
#> 136   21.83      1  43        0         1
#> 50    10.02      1  NA        1         0
#> 164   23.60      1  76        0         1
#> 189.1 10.51      1  NA        1         0
#> 97    19.14      1  65        0         1
#> 66    22.13      1  53        0         0
#> 86    23.81      1  58        0         1
#> 24    23.89      1  38        0         0
#> 105.1 19.75      1  60        0         0
#> 194   22.40      1  38        0         1
#> 43    12.10      1  61        0         1
#> 190   20.81      1  42        1         0
#> 41    18.02      1  40        1         0
#> 69    23.23      1  25        0         1
#> 192.1 16.44      1  31        1         0
#> 68.1  20.62      1  44        0         0
#> 190.1 20.81      1  42        1         0
#> 59.1  10.16      1  NA        1         0
#> 61.1  10.12      1  36        0         1
#> 89    11.44      1  NA        0         0
#> 170   19.54      1  43        0         1
#> 130.1 16.47      1  53        0         1
#> 169   22.41      1  46        0         0
#> 8.1   18.43      1  32        0         0
#> 149    8.37      1  33        1         0
#> 179   18.63      1  42        0         0
#> 56    12.21      1  60        0         0
#> 101.1  9.97      1  10        0         1
#> 129   23.41      1  53        1         0
#> 81    14.06      1  34        0         0
#> 13    14.34      1  54        0         1
#> 164.1 23.60      1  76        0         1
#> 111   17.45      1  47        0         1
#> 56.1  12.21      1  60        0         0
#> 66.1  22.13      1  53        0         0
#> 6     15.64      1  39        0         0
#> 157   15.10      1  47        0         0
#> 57.1  14.46      1  45        0         1
#> 50.1  10.02      1  NA        1         0
#> 111.1 17.45      1  47        0         1
#> 86.1  23.81      1  58        0         1
#> 96    14.54      1  33        0         1
#> 56.2  12.21      1  60        0         0
#> 5     16.43      1  51        0         1
#> 51.1  18.23      1  83        0         1
#> 25     6.32      1  34        1         0
#> 108.1 18.29      1  39        0         1
#> 139   21.49      1  63        1         0
#> 158.1 20.14      1  74        1         0
#> 49    12.19      1  48        1         0
#> 111.2 17.45      1  47        0         1
#> 23    16.92      1  61        0         0
#> 108.2 18.29      1  39        0         1
#> 183.1  9.24      1  67        1         0
#> 110.2 17.56      1  65        0         1
#> 184   17.77      1  38        0         0
#> 78    23.88      1  43        0         0
#> 29.1  15.45      1  68        1         0
#> 57.2  14.46      1  45        0         1
#> 41.1  18.02      1  40        1         0
#> 158.2 20.14      1  74        1         0
#> 66.2  22.13      1  53        0         0
#> 150.1 20.33      1  48        0         0
#> 81.1  14.06      1  34        0         0
#> 168   23.72      1  70        0         0
#> 62    24.00      0  71        0         0
#> 173   24.00      0  19        0         1
#> 82    24.00      0  34        0         0
#> 7     24.00      0  37        1         0
#> 80    24.00      0  41        0         0
#> 71    24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 64    24.00      0  43        0         0
#> 163   24.00      0  66        0         0
#> 67    24.00      0  25        0         0
#> 118   24.00      0  44        1         0
#> 152   24.00      0  36        0         1
#> 33    24.00      0  53        0         0
#> 178   24.00      0  52        1         0
#> 44    24.00      0  56        0         0
#> 200   24.00      0  64        0         0
#> 31    24.00      0  36        0         1
#> 62.1  24.00      0  71        0         0
#> 115   24.00      0  NA        1         0
#> 148   24.00      0  61        1         0
#> 173.1 24.00      0  19        0         1
#> 143   24.00      0  51        0         0
#> 64.1  24.00      0  43        0         0
#> 38    24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 65    24.00      0  57        1         0
#> 115.1 24.00      0  NA        1         0
#> 87    24.00      0  27        0         0
#> 185   24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 118.1 24.00      0  44        1         0
#> 162   24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 21    24.00      0  47        0         0
#> 185.1 24.00      0  44        1         0
#> 200.1 24.00      0  64        0         0
#> 3     24.00      0  31        1         0
#> 67.1  24.00      0  25        0         0
#> 115.2 24.00      0  NA        1         0
#> 65.1  24.00      0  57        1         0
#> 73    24.00      0  NA        0         1
#> 73.1  24.00      0  NA        0         1
#> 118.2 24.00      0  44        1         0
#> 115.3 24.00      0  NA        1         0
#> 162.1 24.00      0  51        0         0
#> 7.1   24.00      0  37        1         0
#> 98    24.00      0  34        1         0
#> 48    24.00      0  31        1         0
#> 64.2  24.00      0  43        0         0
#> 116.1 24.00      0  58        0         1
#> 102   24.00      0  49        0         0
#> 28    24.00      0  67        1         0
#> 44.1  24.00      0  56        0         0
#> 102.1 24.00      0  49        0         0
#> 135   24.00      0  58        1         0
#> 19.1  24.00      0  57        0         1
#> 148.1 24.00      0  61        1         0
#> 132   24.00      0  55        0         0
#> 1     24.00      0  23        1         0
#> 64.3  24.00      0  43        0         0
#> 38.1  24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 174   24.00      0  49        1         0
#> 33.1  24.00      0  53        0         0
#> 198   24.00      0  66        0         1
#> 80.1  24.00      0  41        0         0
#> 31.1  24.00      0  36        0         1
#> 104   24.00      0  50        1         0
#> 163.1 24.00      0  66        0         0
#> 137   24.00      0  45        1         0
#> 48.1  24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 173.2 24.00      0  19        0         1
#> 2     24.00      0   9        0         0
#> 163.2 24.00      0  66        0         0
#> 74    24.00      0  43        0         1
#> 121   24.00      0  57        1         0
#> 120   24.00      0  68        0         1
#> 173.3 24.00      0  19        0         1
#> 98.1  24.00      0  34        1         0
#> 196   24.00      0  19        0         0
#> 143.1 24.00      0  51        0         0
#> 19.2  24.00      0  57        0         1
#> 173.4 24.00      0  19        0         1
#> 146   24.00      0  63        1         0
#> 31.2  24.00      0  36        0         1
#> 87.1  24.00      0  27        0         0
#> 48.2  24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.698         NA        NA      NA
#> 2 age, Cure model           0.0162        NA        NA      NA
#> 3 grade_ii, Cure model     -0.222         NA        NA      NA
#> 4 grade_iii, Cure model     0.695         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0122        NA        NA      NA
#> 2 grade_ii, Survival model    0.538         NA        NA      NA
#> 3 grade_iii, Survival model   0.311         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.69817           0.01616          -0.22175           0.69463  
#> 
#> Degrees of Freedom: 182 Total (i.e. Null);  179 Residual
#> Null Deviance:	    251.7 
#> Residual Deviance: 243.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.69816816       0.01616128      -0.22174839       0.69462869 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01221035       0.53767281       0.31080337 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.0330230470 0.9866682827 0.7273829427 0.2665494476 0.8292856690
#>   [6] 0.9336476576 0.3885700024 0.3162319331 0.2384434233 0.0902566696
#>  [11] 0.2196641312 0.5454868087 0.8683831571 0.0977484149 0.4994680208
#>  [16] 0.5689148275 0.5222799898 0.1504072749 0.4105077285 0.8423534476
#>  [21] 0.3468175764 0.5928604689 0.1194987677 0.1345591373 0.6900327393
#>  [26] 0.8033208056 0.6900327393 0.6652067504 0.4326422222 0.9601103021
#>  [31] 0.5454868087 0.6776197892 0.8815419160 0.3162319331 0.8162746543
#>  [36] 0.9075033209 0.0330230470 0.4326422222 0.4880625277 0.7148354339
#>  [41] 0.1746917779 0.0755829924 0.0139678823 0.2011573900 0.0561307738
#>  [46] 0.0045831816 0.0004116871 0.1746917779 0.0499089650 0.7904375441
#>  [51] 0.1051893155 0.2863482885 0.0279304891 0.4326422222 0.1194987677
#>  [56] 0.1051893155 0.8423534476 0.1921431499 0.4105077285 0.0437962260
#>  [61] 0.2196641312 0.9468923112 0.2103290823 0.7398570674 0.8815419160
#>  [66] 0.0228353875 0.6407353580 0.6285403865 0.0139678823 0.3573302420
#>  [71] 0.7398570674 0.0561307738 0.4766931615 0.5338283307 0.5928604689
#>  [76] 0.3573302420 0.0045831816 0.5808767833 0.7398570674 0.4654256174
#>  [81] 0.2665494476 0.9734010966 0.2384434233 0.0828525150 0.1504072749
#>  [86] 0.7776277999 0.3573302420 0.3994597730 0.2384434233 0.9075033209
#>  [91] 0.3162319331 0.3060788171 0.0020196424 0.4994680208 0.5928604689
#>  [96] 0.2863482885 0.1504072749 0.0561307738 0.1345591373 0.6407353580
#> [101] 0.0099970850 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>    15   127   154    51    93    16    30   110   108    99     8   180   145 
#> 22.68  3.53 12.63 18.23 10.33  8.71 17.43 17.56 18.29 21.19 18.43 14.82 10.07 
#>    32    29   133    18   158   130    61   117    57    68   150    14    10 
#> 20.90 15.45 14.65 15.21 20.14 16.47 10.12 17.46 14.46 20.62 20.33 12.89 10.53 
#>  14.1   155   192    77 180.1   123   101 110.1    52   183  15.1    85   167 
#> 12.89 13.08 16.44  7.27 14.82 13.00  9.97 17.56 10.42  9.24 22.68 16.44 15.55 
#>   140   105   136   164    97    66    86    24 105.1   194    43   190    41 
#> 12.68 19.75 21.83 23.60 19.14 22.13 23.81 23.89 19.75 22.40 12.10 20.81 18.02 
#>    69 192.1  68.1 190.1  61.1   170 130.1   169   8.1   149   179    56 101.1 
#> 23.23 16.44 20.62 20.81 10.12 19.54 16.47 22.41 18.43  8.37 18.63 12.21  9.97 
#>   129    81    13 164.1   111  56.1  66.1     6   157  57.1 111.1  86.1    96 
#> 23.41 14.06 14.34 23.60 17.45 12.21 22.13 15.64 15.10 14.46 17.45 23.81 14.54 
#>  56.2     5  51.1    25 108.1   139 158.1    49 111.2    23 108.2 183.1 110.2 
#> 12.21 16.43 18.23  6.32 18.29 21.49 20.14 12.19 17.45 16.92 18.29  9.24 17.56 
#>   184    78  29.1  57.2  41.1 158.2  66.2 150.1  81.1   168    62   173    82 
#> 17.77 23.88 15.45 14.46 18.02 20.14 22.13 20.33 14.06 23.72 24.00 24.00 24.00 
#>     7    80    71   116    64   163    67   118   152    33   178    44   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31  62.1   148 173.1   143  64.1    38   193    65    87   185   186 118.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162    19    21 185.1 200.1     3  67.1  65.1 118.2 162.1   7.1    98    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  64.2 116.1   102    28  44.1 102.1   135  19.1 148.1   132     1  64.3  38.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53   174  33.1   198  80.1  31.1   104 163.1   137  48.1    46 173.2     2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 163.2    74   121   120 173.3  98.1   196 143.1  19.2 173.4   146  31.2  87.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  48.2 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[26]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01402458                0.48895844                0.48631105 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.16412074              0.02149333              0.33333317 
#>   grade_iii, Cure model 
#>              0.68683428 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 187    9.92      1  39        1         0
#> 25     6.32      1  34        1         0
#> 57    14.46      1  45        0         1
#> 158   20.14      1  74        1         0
#> 49    12.19      1  48        1         0
#> 150   20.33      1  48        0         0
#> 129   23.41      1  53        1         0
#> 139   21.49      1  63        1         0
#> 134   17.81      1  47        1         0
#> 18    15.21      1  49        1         0
#> 52    10.42      1  52        0         1
#> 18.1  15.21      1  49        1         0
#> 189   10.51      1  NA        1         0
#> 63    22.77      1  31        1         0
#> 133   14.65      1  57        0         0
#> 56    12.21      1  60        0         0
#> 4     17.64      1  NA        0         1
#> 10    10.53      1  34        0         0
#> 195   11.76      1  NA        1         0
#> 58    19.34      1  39        0         0
#> 150.1 20.33      1  48        0         0
#> 124    9.73      1  NA        1         0
#> 99    21.19      1  38        0         1
#> 145   10.07      1  65        1         0
#> 5     16.43      1  51        0         1
#> 199   19.81      1  NA        0         1
#> 32    20.90      1  37        1         0
#> 183    9.24      1  67        1         0
#> 78    23.88      1  43        0         0
#> 51    18.23      1  83        0         1
#> 133.1 14.65      1  57        0         0
#> 166   19.98      1  48        0         0
#> 179   18.63      1  42        0         0
#> 79    16.23      1  54        1         0
#> 61    10.12      1  36        0         1
#> 66    22.13      1  53        0         0
#> 175   21.91      1  43        0         0
#> 79.1  16.23      1  54        1         0
#> 86    23.81      1  58        0         1
#> 43    12.10      1  61        0         1
#> 189.1 10.51      1  NA        1         0
#> 78.1  23.88      1  43        0         0
#> 127    3.53      1  62        0         1
#> 52.1  10.42      1  52        0         1
#> 40    18.00      1  28        1         0
#> 113   22.86      1  34        0         0
#> 26    15.77      1  49        0         1
#> 180   14.82      1  37        0         0
#> 16     8.71      1  71        0         1
#> 170   19.54      1  43        0         1
#> 18.2  15.21      1  49        1         0
#> 60    13.15      1  38        1         0
#> 32.1  20.90      1  37        1         0
#> 99.1  21.19      1  38        0         1
#> 29    15.45      1  68        1         0
#> 167   15.55      1  56        1         0
#> 63.1  22.77      1  31        1         0
#> 23    16.92      1  61        0         0
#> 90    20.94      1  50        0         1
#> 25.1   6.32      1  34        1         0
#> 93    10.33      1  52        0         1
#> 43.1  12.10      1  61        0         1
#> 97    19.14      1  65        0         1
#> 133.2 14.65      1  57        0         0
#> 76    19.22      1  54        0         1
#> 79.2  16.23      1  54        1         0
#> 166.1 19.98      1  48        0         0
#> 169   22.41      1  46        0         0
#> 171   16.57      1  41        0         1
#> 5.1   16.43      1  51        0         1
#> 123   13.00      1  44        1         0
#> 194   22.40      1  38        0         1
#> 60.1  13.15      1  38        1         0
#> 108   18.29      1  39        0         1
#> 105   19.75      1  60        0         0
#> 136   21.83      1  43        0         1
#> 97.1  19.14      1  65        0         1
#> 183.1  9.24      1  67        1         0
#> 26.1  15.77      1  49        0         1
#> 99.2  21.19      1  38        0         1
#> 42    12.43      1  49        0         1
#> 166.2 19.98      1  48        0         0
#> 42.1  12.43      1  49        0         1
#> 56.1  12.21      1  60        0         0
#> 190   20.81      1  42        1         0
#> 29.1  15.45      1  68        1         0
#> 78.2  23.88      1  43        0         0
#> 41    18.02      1  40        1         0
#> 59    10.16      1  NA        1         0
#> 181   16.46      1  45        0         1
#> 175.1 21.91      1  43        0         0
#> 63.2  22.77      1  31        1         0
#> 13    14.34      1  54        0         1
#> 183.2  9.24      1  67        1         0
#> 23.1  16.92      1  61        0         0
#> 45    17.42      1  54        0         1
#> 56.2  12.21      1  60        0         0
#> 100   16.07      1  60        0         0
#> 158.1 20.14      1  74        1         0
#> 175.2 21.91      1  43        0         0
#> 6     15.64      1  39        0         0
#> 81    14.06      1  34        0         0
#> 110   17.56      1  65        0         1
#> 129.1 23.41      1  53        1         0
#> 79.3  16.23      1  54        1         0
#> 51.1  18.23      1  83        0         1
#> 101    9.97      1  10        0         1
#> 107   11.18      1  54        1         0
#> 29.2  15.45      1  68        1         0
#> 149    8.37      1  33        1         0
#> 149.1  8.37      1  33        1         0
#> 111   17.45      1  47        0         1
#> 71    24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 103   24.00      0  56        1         0
#> 84    24.00      0  39        0         1
#> 148   24.00      0  61        1         0
#> 112   24.00      0  61        0         0
#> 119   24.00      0  17        0         0
#> 2     24.00      0   9        0         0
#> 121   24.00      0  57        1         0
#> 182   24.00      0  35        0         0
#> 120   24.00      0  68        0         1
#> 160   24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 83    24.00      0   6        0         0
#> 143   24.00      0  51        0         0
#> 3     24.00      0  31        1         0
#> 84.1  24.00      0  39        0         1
#> 103.1 24.00      0  56        1         0
#> 62    24.00      0  71        0         0
#> 17    24.00      0  38        0         1
#> 141   24.00      0  44        1         0
#> 34    24.00      0  36        0         0
#> 109   24.00      0  48        0         0
#> 103.2 24.00      0  56        1         0
#> 95    24.00      0  68        0         1
#> 161   24.00      0  45        0         0
#> 103.3 24.00      0  56        1         0
#> 62.1  24.00      0  71        0         0
#> 151   24.00      0  42        0         0
#> 193   24.00      0  45        0         1
#> 162   24.00      0  51        0         0
#> 47    24.00      0  38        0         1
#> 3.1   24.00      0  31        1         0
#> 163   24.00      0  66        0         0
#> 121.1 24.00      0  57        1         0
#> 152.1 24.00      0  36        0         1
#> 53    24.00      0  32        0         1
#> 176   24.00      0  43        0         1
#> 146   24.00      0  63        1         0
#> 172   24.00      0  41        0         0
#> 185   24.00      0  44        1         0
#> 71.1  24.00      0  51        0         0
#> 193.1 24.00      0  45        0         1
#> 98    24.00      0  34        1         0
#> 162.1 24.00      0  51        0         0
#> 72    24.00      0  40        0         1
#> 80    24.00      0  41        0         0
#> 144   24.00      0  28        0         1
#> 33    24.00      0  53        0         0
#> 35    24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 74    24.00      0  43        0         1
#> 141.1 24.00      0  44        1         0
#> 102   24.00      0  49        0         0
#> 146.1 24.00      0  63        1         0
#> 72.1  24.00      0  40        0         1
#> 126   24.00      0  48        0         0
#> 147   24.00      0  76        1         0
#> 162.2 24.00      0  51        0         0
#> 146.2 24.00      0  63        1         0
#> 161.1 24.00      0  45        0         0
#> 80.1  24.00      0  41        0         0
#> 138   24.00      0  44        1         0
#> 46    24.00      0  71        0         0
#> 34.1  24.00      0  36        0         0
#> 126.1 24.00      0  48        0         0
#> 156   24.00      0  50        1         0
#> 138.1 24.00      0  44        1         0
#> 191   24.00      0  60        0         1
#> 1     24.00      0  23        1         0
#> 71.2  24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 161.2 24.00      0  45        0         0
#> 53.1  24.00      0  32        0         1
#> 174   24.00      0  49        1         0
#> 174.1 24.00      0  49        1         0
#> 35.1  24.00      0  51        0         0
#> 121.2 24.00      0  57        1         0
#> 20    24.00      0  46        1         0
#> 178   24.00      0  52        1         0
#> 172.1 24.00      0  41        0         0
#> 35.2  24.00      0  51        0         0
#> 84.2  24.00      0  39        0         1
#> 121.3 24.00      0  57        1         0
#> 119.1 24.00      0  17        0         0
#> 47.1  24.00      0  38        0         1
#> 156.1 24.00      0  50        1         0
#> 20.1  24.00      0  46        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.16          NA        NA      NA
#> 2 age, Cure model           0.0215        NA        NA      NA
#> 3 grade_ii, Cure model      0.333         NA        NA      NA
#> 4 grade_iii, Cure model     0.687         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0140        NA        NA      NA
#> 2 grade_ii, Survival model    0.489         NA        NA      NA
#> 3 grade_iii, Survival model   0.486         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.16412           0.02149           0.33333           0.68683  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.5 
#> Residual Deviance: 257.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.16412074       0.02149333       0.33333317       0.68683428 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01402458       0.48895844       0.48631105 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.9669972 0.9903202 0.8839295 0.6217683 0.9272676 0.6038224 0.3143114
#>   [8] 0.5220749 0.7434306 0.8546133 0.9457573 0.8546133 0.3769315 0.8715179
#>  [15] 0.9158572 0.9421019 0.6767513 0.6038224 0.5339784 0.9600160 0.7882747
#>  [22] 0.5754697 0.9704596 0.1630366 0.7188527 0.8715179 0.6380238 0.7053087
#>  [29] 0.7986211 0.9564806 0.4556133 0.4700960 0.7986211 0.2817757 0.9310526
#>  [36] 0.1630366 0.9967899 0.9457573 0.7373747 0.3561354 0.8227842 0.8672867
#>  [43] 0.9804710 0.6691618 0.8546133 0.8961758 0.5754697 0.5339784 0.8415040
#>  [50] 0.8368772 0.3769315 0.7665223 0.5652755 0.9903202 0.9529228 0.9310526
#>  [57] 0.6916083 0.8715179 0.6842793 0.7986211 0.6380238 0.4246322 0.7774899
#>  [64] 0.7882747 0.9041474 0.4406044 0.8961758 0.7121390 0.6613987 0.5093146
#>  [71] 0.6916083 0.9704596 0.8227842 0.5339784 0.9081066 0.6380238 0.9081066
#>  [78] 0.9158572 0.5945141 0.8415040 0.1630366 0.7312477 0.7829205 0.4700960
#>  [85] 0.3769315 0.8880465 0.9704596 0.7665223 0.7609097 0.9158572 0.8179473
#>  [92] 0.6217683 0.4700960 0.8321836 0.8921168 0.7493822 0.3143114 0.7986211
#>  [99] 0.7188527 0.9635121 0.9384378 0.8415040 0.9837811 0.9837811 0.7551931
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [190] 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>   187    25    57   158    49   150   129   139   134    18    52  18.1    63 
#>  9.92  6.32 14.46 20.14 12.19 20.33 23.41 21.49 17.81 15.21 10.42 15.21 22.77 
#>   133    56    10    58 150.1    99   145     5    32   183    78    51 133.1 
#> 14.65 12.21 10.53 19.34 20.33 21.19 10.07 16.43 20.90  9.24 23.88 18.23 14.65 
#>   166   179    79    61    66   175  79.1    86    43  78.1   127  52.1    40 
#> 19.98 18.63 16.23 10.12 22.13 21.91 16.23 23.81 12.10 23.88  3.53 10.42 18.00 
#>   113    26   180    16   170  18.2    60  32.1  99.1    29   167  63.1    23 
#> 22.86 15.77 14.82  8.71 19.54 15.21 13.15 20.90 21.19 15.45 15.55 22.77 16.92 
#>    90  25.1    93  43.1    97 133.2    76  79.2 166.1   169   171   5.1   123 
#> 20.94  6.32 10.33 12.10 19.14 14.65 19.22 16.23 19.98 22.41 16.57 16.43 13.00 
#>   194  60.1   108   105   136  97.1 183.1  26.1  99.2    42 166.2  42.1  56.1 
#> 22.40 13.15 18.29 19.75 21.83 19.14  9.24 15.77 21.19 12.43 19.98 12.43 12.21 
#>   190  29.1  78.2    41   181 175.1  63.2    13 183.2  23.1    45  56.2   100 
#> 20.81 15.45 23.88 18.02 16.46 21.91 22.77 14.34  9.24 16.92 17.42 12.21 16.07 
#> 158.1 175.2     6    81   110 129.1  79.3  51.1   101   107  29.2   149 149.1 
#> 20.14 21.91 15.64 14.06 17.56 23.41 16.23 18.23  9.97 11.18 15.45  8.37  8.37 
#>   111    71   152   103    84   148   112   119     2   121   182   120   160 
#> 17.45 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83   143     3  84.1 103.1    62    17   141    34   109 103.2    95   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 103.3  62.1   151   193   162    47   3.1   163 121.1 152.1    53   176   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172   185  71.1 193.1    98 162.1    72    80   144    33    35    31    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 141.1   102 146.1  72.1   126   147 162.2 146.2 161.1  80.1   138    46  34.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 126.1   156 138.1   191     1  71.2    22 161.2  53.1   174 174.1  35.1 121.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20   178 172.1  35.2  84.2 121.3 119.1  47.1 156.1  20.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[27]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01603757                0.25457957               -0.06721908 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.602566720             0.008491294             0.143733069 
#>   grade_iii, Cure model 
#>             1.034905578 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 92    22.92      1  47        0         1
#> 96    14.54      1  33        0         1
#> 157   15.10      1  47        0         0
#> 88    18.37      1  47        0         0
#> 114   13.68      1  NA        0         0
#> 128   20.35      1  35        0         1
#> 89    11.44      1  NA        0         0
#> 180   14.82      1  37        0         0
#> 170   19.54      1  43        0         1
#> 96.1  14.54      1  33        0         1
#> 177   12.53      1  75        0         0
#> 139   21.49      1  63        1         0
#> 192   16.44      1  31        1         0
#> 171   16.57      1  41        0         1
#> 145   10.07      1  65        1         0
#> 51    18.23      1  83        0         1
#> 164   23.60      1  76        0         1
#> 180.1 14.82      1  37        0         0
#> 10    10.53      1  34        0         0
#> 197   21.60      1  69        1         0
#> 51.1  18.23      1  83        0         1
#> 51.2  18.23      1  83        0         1
#> 15    22.68      1  48        0         0
#> 86    23.81      1  58        0         1
#> 139.1 21.49      1  63        1         0
#> 192.1 16.44      1  31        1         0
#> 81    14.06      1  34        0         0
#> 55    19.34      1  69        0         1
#> 129   23.41      1  53        1         0
#> 136   21.83      1  43        0         1
#> 117   17.46      1  26        0         1
#> 180.2 14.82      1  37        0         0
#> 5     16.43      1  51        0         1
#> 101    9.97      1  10        0         1
#> 10.1  10.53      1  34        0         0
#> 10.2  10.53      1  34        0         0
#> 184   17.77      1  38        0         0
#> 123   13.00      1  44        1         0
#> 183    9.24      1  67        1         0
#> 86.1  23.81      1  58        0         1
#> 18    15.21      1  49        1         0
#> 127    3.53      1  62        0         1
#> 23    16.92      1  61        0         0
#> 81.1  14.06      1  34        0         0
#> 124    9.73      1  NA        1         0
#> 40    18.00      1  28        1         0
#> 101.1  9.97      1  10        0         1
#> 157.1 15.10      1  47        0         0
#> 140   12.68      1  59        1         0
#> 134   17.81      1  47        1         0
#> 55.1  19.34      1  69        0         1
#> 70     7.38      1  30        1         0
#> 157.2 15.10      1  47        0         0
#> 55.2  19.34      1  69        0         1
#> 52    10.42      1  52        0         1
#> 136.1 21.83      1  43        0         1
#> 114.1 13.68      1  NA        0         0
#> 154   12.63      1  20        1         0
#> 108   18.29      1  39        0         1
#> 89.1  11.44      1  NA        0         0
#> 192.2 16.44      1  31        1         0
#> 170.1 19.54      1  43        0         1
#> 123.1 13.00      1  44        1         0
#> 63    22.77      1  31        1         0
#> 107   11.18      1  54        1         0
#> 99    21.19      1  38        0         1
#> 180.3 14.82      1  37        0         0
#> 169   22.41      1  46        0         0
#> 133   14.65      1  57        0         0
#> 60    13.15      1  38        1         0
#> 56    12.21      1  60        0         0
#> 52.1  10.42      1  52        0         1
#> 36    21.19      1  48        0         1
#> 199   19.81      1  NA        0         1
#> 96.2  14.54      1  33        0         1
#> 181   16.46      1  45        0         1
#> 18.1  15.21      1  49        1         0
#> 66    22.13      1  53        0         0
#> 114.2 13.68      1  NA        0         0
#> 111   17.45      1  47        0         1
#> 50    10.02      1  NA        1         0
#> 37    12.52      1  57        1         0
#> 110   17.56      1  65        0         1
#> 123.2 13.00      1  44        1         0
#> 56.1  12.21      1  60        0         0
#> 89.2  11.44      1  NA        0         0
#> 70.1   7.38      1  30        1         0
#> 170.2 19.54      1  43        0         1
#> 36.1  21.19      1  48        0         1
#> 97    19.14      1  65        0         1
#> 127.1  3.53      1  62        0         1
#> 78    23.88      1  43        0         0
#> 129.1 23.41      1  53        1         0
#> 99.1  21.19      1  38        0         1
#> 125   15.65      1  67        1         0
#> 113   22.86      1  34        0         0
#> 16     8.71      1  71        0         1
#> 155   13.08      1  26        0         0
#> 183.1  9.24      1  67        1         0
#> 49    12.19      1  48        1         0
#> 14    12.89      1  21        0         0
#> 23.1  16.92      1  61        0         0
#> 184.1 17.77      1  38        0         0
#> 168   23.72      1  70        0         0
#> 105   19.75      1  60        0         0
#> 111.1 17.45      1  47        0         1
#> 150   20.33      1  48        0         0
#> 88.1  18.37      1  47        0         0
#> 159   10.55      1  50        0         1
#> 197.1 21.60      1  69        1         0
#> 50.1  10.02      1  NA        1         0
#> 199.1 19.81      1  NA        0         1
#> 119   24.00      0  17        0         0
#> 112   24.00      0  61        0         0
#> 147   24.00      0  76        1         0
#> 94    24.00      0  51        0         1
#> 47    24.00      0  38        0         1
#> 1     24.00      0  23        1         0
#> 196   24.00      0  19        0         0
#> 35    24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 131   24.00      0  66        0         0
#> 126   24.00      0  48        0         0
#> 48    24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 3     24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 48.1  24.00      0  31        1         0
#> 200   24.00      0  64        0         0
#> 9     24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 172   24.00      0  41        0         0
#> 17.1  24.00      0  38        0         1
#> 12    24.00      0  63        0         0
#> 193   24.00      0  45        0         1
#> 71    24.00      0  51        0         0
#> 71.1  24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 72    24.00      0  40        0         1
#> 34    24.00      0  36        0         0
#> 142   24.00      0  53        0         0
#> 120   24.00      0  68        0         1
#> 132   24.00      0  55        0         0
#> 67    24.00      0  25        0         0
#> 119.1 24.00      0  17        0         0
#> 22    24.00      0  52        1         0
#> 65.1  24.00      0  57        1         0
#> 191   24.00      0  60        0         1
#> 20    24.00      0  46        1         0
#> 33    24.00      0  53        0         0
#> 2     24.00      0   9        0         0
#> 185   24.00      0  44        1         0
#> 160   24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 132.1 24.00      0  55        0         0
#> 102   24.00      0  49        0         0
#> 35.1  24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 74    24.00      0  43        0         1
#> 34.1  24.00      0  36        0         0
#> 143   24.00      0  51        0         0
#> 1.1   24.00      0  23        1         0
#> 191.1 24.00      0  60        0         1
#> 151   24.00      0  42        0         0
#> 185.1 24.00      0  44        1         0
#> 131.1 24.00      0  66        0         0
#> 191.2 24.00      0  60        0         1
#> 80.1  24.00      0  41        0         0
#> 186   24.00      0  45        1         0
#> 148   24.00      0  61        1         0
#> 75    24.00      0  21        1         0
#> 38    24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 65.2  24.00      0  57        1         0
#> 120.1 24.00      0  68        0         1
#> 35.2  24.00      0  51        0         0
#> 160.1 24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 75.1  24.00      0  21        1         0
#> 163   24.00      0  66        0         0
#> 28    24.00      0  67        1         0
#> 80.2  24.00      0  41        0         0
#> 147.1 24.00      0  76        1         0
#> 103.1 24.00      0  56        1         0
#> 162   24.00      0  51        0         0
#> 193.1 24.00      0  45        0         1
#> 103.2 24.00      0  56        1         0
#> 152   24.00      0  36        0         1
#> 120.2 24.00      0  68        0         1
#> 67.1  24.00      0  25        0         0
#> 83    24.00      0   6        0         0
#> 102.1 24.00      0  49        0         0
#> 151.1 24.00      0  42        0         0
#> 3.1   24.00      0  31        1         0
#> 48.2  24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 2.1   24.00      0   9        0         0
#> 20.1  24.00      0  46        1         0
#> 72.1  24.00      0  40        0         1
#> 178   24.00      0  52        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.603          NA        NA      NA
#> 2 age, Cure model          0.00849        NA        NA      NA
#> 3 grade_ii, Cure model     0.144          NA        NA      NA
#> 4 grade_iii, Cure model    1.03           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0160        NA        NA      NA
#> 2 grade_ii, Survival model    0.255         NA        NA      NA
#> 3 grade_iii, Survival model  -0.0672        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.602567          0.008491          0.143733          1.034906  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    261.1 
#> Residual Deviance: 250.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.602566720      0.008491294      0.143733069      1.034905578 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01603757       0.25457957      -0.06721908 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 4.034442e-03 4.276664e-01 3.280650e-01 9.689480e-02 4.558758e-02
#>   [6] 3.641023e-01 5.892572e-02 4.276664e-01 6.150249e-01 2.504830e-02
#>  [11] 2.508302e-01 2.297301e-01 8.143655e-01 1.170461e-01 1.188126e-03
#>  [16] 3.641023e-01 7.284189e-01 1.945116e-02 1.170461e-01 1.170461e-01
#>  [21] 8.613157e-03 1.248952e-04 2.504830e-02 2.508302e-01 4.683061e-01
#>  [26] 7.356976e-02 2.045199e-03 1.464981e-02 1.818776e-01 3.641023e-01
#>  [31] 2.823503e-01 8.323517e-01 7.284189e-01 7.284189e-01 1.560432e-01
#>  [36] 5.255014e-01 8.682479e-01 1.248952e-04 3.049495e-01 9.614210e-01
#>  [41] 2.098110e-01 4.683061e-01 1.397002e-01 8.323517e-01 3.280650e-01
#>  [46] 5.843989e-01 1.477829e-01 7.356976e-02 9.238287e-01 3.280650e-01
#>  [51] 7.356976e-02 7.792089e-01 1.464981e-02 5.996993e-01 1.100457e-01
#>  [56] 2.508302e-01 5.892572e-02 5.255014e-01 6.977449e-03 6.949795e-01
#>  [61] 3.140152e-02 3.641023e-01 1.043518e-02 4.142589e-01 4.965034e-01
#>  [66] 6.464084e-01 7.792089e-01 3.140152e-02 4.276664e-01 2.401537e-01
#>  [71] 3.049495e-01 1.244036e-02 1.910065e-01 6.306223e-01 1.729214e-01
#>  [76] 5.255014e-01 6.464084e-01 9.238287e-01 5.892572e-02 3.140152e-02
#>  [81] 9.055312e-02 9.614210e-01 1.702234e-05 2.045199e-03 3.140152e-02
#>  [86] 2.935282e-01 5.421571e-03 9.049944e-01 5.109322e-01 8.682479e-01
#>  [91] 6.785534e-01 5.692958e-01 2.098110e-01 1.560432e-01 6.270969e-04
#>  [96] 5.425486e-02 1.910065e-01 4.982003e-02 9.689480e-02 7.115851e-01
#> [101] 1.945116e-02 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>    92    96   157    88   128   180   170  96.1   177   139   192   171   145 
#> 22.92 14.54 15.10 18.37 20.35 14.82 19.54 14.54 12.53 21.49 16.44 16.57 10.07 
#>    51   164 180.1    10   197  51.1  51.2    15    86 139.1 192.1    81    55 
#> 18.23 23.60 14.82 10.53 21.60 18.23 18.23 22.68 23.81 21.49 16.44 14.06 19.34 
#>   129   136   117 180.2     5   101  10.1  10.2   184   123   183  86.1    18 
#> 23.41 21.83 17.46 14.82 16.43  9.97 10.53 10.53 17.77 13.00  9.24 23.81 15.21 
#>   127    23  81.1    40 101.1 157.1   140   134  55.1    70 157.2  55.2    52 
#>  3.53 16.92 14.06 18.00  9.97 15.10 12.68 17.81 19.34  7.38 15.10 19.34 10.42 
#> 136.1   154   108 192.2 170.1 123.1    63   107    99 180.3   169   133    60 
#> 21.83 12.63 18.29 16.44 19.54 13.00 22.77 11.18 21.19 14.82 22.41 14.65 13.15 
#>    56  52.1    36  96.2   181  18.1    66   111    37   110 123.2  56.1  70.1 
#> 12.21 10.42 21.19 14.54 16.46 15.21 22.13 17.45 12.52 17.56 13.00 12.21  7.38 
#> 170.2  36.1    97 127.1    78 129.1  99.1   125   113    16   155 183.1    49 
#> 19.54 21.19 19.14  3.53 23.88 23.41 21.19 15.65 22.86  8.71 13.08  9.24 12.19 
#>    14  23.1 184.1   168   105 111.1   150  88.1   159 197.1   119   112   147 
#> 12.89 16.92 17.77 23.72 19.75 17.45 20.33 18.37 10.55 21.60 24.00 24.00 24.00 
#>    94    47     1   196    35    17   131   126    48   103     3    46  48.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200     9    80   172  17.1    12   193    71  71.1    65    72    34   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120   132    67 119.1    22  65.1   191    20    33     2   185   160    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.1   102  35.1    44    74  34.1   143   1.1 191.1   151 185.1 131.1 191.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  80.1   186   148    75    38    54  65.2 120.1  35.2 160.1    19  75.1   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28  80.2 147.1 103.1   162 193.1 103.2   152 120.2  67.1    83 102.1 151.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.1  48.2   182   2.1  20.1  72.1   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[28]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001332944               0.710315280               0.529361704 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.880075333             0.006593237             0.639718710 
#>   grade_iii, Cure model 
#>             1.507112028 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 66    22.13      1  53        0         0
#> 59    10.16      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 30    17.43      1  78        0         0
#> 92    22.92      1  47        0         1
#> 111   17.45      1  47        0         1
#> 113   22.86      1  34        0         0
#> 78    23.88      1  43        0         0
#> 199   19.81      1  NA        0         1
#> 24    23.89      1  38        0         0
#> 79    16.23      1  54        1         0
#> 124    9.73      1  NA        1         0
#> 25     6.32      1  34        1         0
#> 139   21.49      1  63        1         0
#> 91     5.33      1  61        0         1
#> 154   12.63      1  20        1         0
#> 158   20.14      1  74        1         0
#> 68    20.62      1  44        0         0
#> 199.1 19.81      1  NA        0         1
#> 157   15.10      1  47        0         0
#> 124.1  9.73      1  NA        1         0
#> 164   23.60      1  76        0         1
#> 29    15.45      1  68        1         0
#> 105   19.75      1  60        0         0
#> 16     8.71      1  71        0         1
#> 189   10.51      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 18    15.21      1  49        1         0
#> 90    20.94      1  50        0         1
#> 63    22.77      1  31        1         0
#> 63.1  22.77      1  31        1         0
#> 92.1  22.92      1  47        0         1
#> 127    3.53      1  62        0         1
#> 167   15.55      1  56        1         0
#> 6     15.64      1  39        0         0
#> 8     18.43      1  32        0         0
#> 139.1 21.49      1  63        1         0
#> 63.2  22.77      1  31        1         0
#> 197   21.60      1  69        1         0
#> 123   13.00      1  44        1         0
#> 113.1 22.86      1  34        0         0
#> 195   11.76      1  NA        1         0
#> 5     16.43      1  51        0         1
#> 100   16.07      1  60        0         0
#> 195.1 11.76      1  NA        1         0
#> 96    14.54      1  33        0         1
#> 42    12.43      1  49        0         1
#> 164.1 23.60      1  76        0         1
#> 58    19.34      1  39        0         0
#> 158.1 20.14      1  74        1         0
#> 86    23.81      1  58        0         1
#> 45    17.42      1  54        0         1
#> 108   18.29      1  39        0         1
#> 43    12.10      1  61        0         1
#> 99    21.19      1  38        0         1
#> 108.1 18.29      1  39        0         1
#> 164.2 23.60      1  76        0         1
#> 42.1  12.43      1  49        0         1
#> 32    20.90      1  37        1         0
#> 197.1 21.60      1  69        1         0
#> 127.1  3.53      1  62        0         1
#> 96.1  14.54      1  33        0         1
#> 5.1   16.43      1  51        0         1
#> 91.1   5.33      1  61        0         1
#> 181   16.46      1  45        0         1
#> 89    11.44      1  NA        0         0
#> 195.2 11.76      1  NA        1         0
#> 40    18.00      1  28        1         0
#> 45.1  17.42      1  54        0         1
#> 68.1  20.62      1  44        0         0
#> 127.2  3.53      1  62        0         1
#> 105.1 19.75      1  60        0         0
#> 175   21.91      1  43        0         0
#> 4     17.64      1  NA        0         1
#> 51    18.23      1  83        0         1
#> 117   17.46      1  26        0         1
#> 6.1   15.64      1  39        0         0
#> 50    10.02      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 154.1 12.63      1  20        1         0
#> 41    18.02      1  40        1         0
#> 90.1  20.94      1  50        0         1
#> 97    19.14      1  65        0         1
#> 194   22.40      1  38        0         1
#> 4.1   17.64      1  NA        0         1
#> 184   17.77      1  38        0         0
#> 128   20.35      1  35        0         1
#> 114   13.68      1  NA        0         0
#> 89.1  11.44      1  NA        0         0
#> 133   14.65      1  57        0         0
#> 108.2 18.29      1  39        0         1
#> 145   10.07      1  65        1         0
#> 24.1  23.89      1  38        0         0
#> 139.2 21.49      1  63        1         0
#> 130   16.47      1  53        0         1
#> 51.1  18.23      1  83        0         1
#> 70     7.38      1  30        1         0
#> 78.1  23.88      1  43        0         0
#> 155   13.08      1  26        0         0
#> 40.1  18.00      1  28        1         0
#> 16.1   8.71      1  71        0         1
#> 49    12.19      1  48        1         0
#> 101    9.97      1  10        0         1
#> 168   23.72      1  70        0         0
#> 4.2   17.64      1  NA        0         1
#> 86.1  23.81      1  58        0         1
#> 194.1 22.40      1  38        0         1
#> 129   23.41      1  53        1         0
#> 177   12.53      1  75        0         0
#> 145.1 10.07      1  65        1         0
#> 29.1  15.45      1  68        1         0
#> 15    22.68      1  48        0         0
#> 80    24.00      0  41        0         0
#> 53    24.00      0  32        0         1
#> 82    24.00      0  34        0         0
#> 94    24.00      0  51        0         1
#> 148   24.00      0  61        1         0
#> 19    24.00      0  57        0         1
#> 135   24.00      0  58        1         0
#> 143   24.00      0  51        0         0
#> 186   24.00      0  45        1         0
#> 64    24.00      0  43        0         0
#> 46    24.00      0  71        0         0
#> 82.1  24.00      0  34        0         0
#> 122   24.00      0  66        0         0
#> 19.1  24.00      0  57        0         1
#> 71    24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 46.1  24.00      0  71        0         0
#> 132   24.00      0  55        0         0
#> 147   24.00      0  76        1         0
#> 48    24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 71.1  24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 38    24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 119   24.00      0  17        0         0
#> 35    24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 116   24.00      0  58        0         1
#> 62    24.00      0  71        0         0
#> 142.1 24.00      0  53        0         0
#> 141   24.00      0  44        1         0
#> 198   24.00      0  66        0         1
#> 9     24.00      0  31        1         0
#> 119.1 24.00      0  17        0         0
#> 2.1   24.00      0   9        0         0
#> 161   24.00      0  45        0         0
#> 151   24.00      0  42        0         0
#> 120   24.00      0  68        0         1
#> 126   24.00      0  48        0         0
#> 172   24.00      0  41        0         0
#> 119.2 24.00      0  17        0         0
#> 12    24.00      0  63        0         0
#> 38.1  24.00      0  31        1         0
#> 142.2 24.00      0  53        0         0
#> 135.1 24.00      0  58        1         0
#> 72    24.00      0  40        0         1
#> 75    24.00      0  21        1         0
#> 12.1  24.00      0  63        0         0
#> 163   24.00      0  66        0         0
#> 95    24.00      0  68        0         1
#> 137   24.00      0  45        1         0
#> 84    24.00      0  39        0         1
#> 131   24.00      0  66        0         0
#> 109.1 24.00      0  48        0         0
#> 11    24.00      0  42        0         1
#> 20    24.00      0  46        1         0
#> 75.1  24.00      0  21        1         0
#> 67    24.00      0  25        0         0
#> 119.3 24.00      0  17        0         0
#> 65    24.00      0  57        1         0
#> 174   24.00      0  49        1         0
#> 38.2  24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 172.1 24.00      0  41        0         0
#> 118   24.00      0  44        1         0
#> 98    24.00      0  34        1         0
#> 94.1  24.00      0  51        0         1
#> 122.1 24.00      0  66        0         0
#> 116.1 24.00      0  58        0         1
#> 200   24.00      0  64        0         0
#> 104   24.00      0  50        1         0
#> 80.1  24.00      0  41        0         0
#> 103   24.00      0  56        1         0
#> 143.1 24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 132.1 24.00      0  55        0         0
#> 121   24.00      0  57        1         0
#> 161.1 24.00      0  45        0         0
#> 84.1  24.00      0  39        0         1
#> 198.1 24.00      0  66        0         1
#> 118.1 24.00      0  44        1         0
#> 161.2 24.00      0  45        0         0
#> 62.1  24.00      0  71        0         0
#> 46.2  24.00      0  71        0         0
#> 7     24.00      0  37        1         0
#> 137.1 24.00      0  45        1         0
#> 53.1  24.00      0  32        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.880          NA        NA      NA
#> 2 age, Cure model          0.00659        NA        NA      NA
#> 3 grade_ii, Cure model     0.640          NA        NA      NA
#> 4 grade_iii, Cure model    1.51           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00133        NA        NA      NA
#> 2 grade_ii, Survival model   0.710          NA        NA      NA
#> 3 grade_iii, Survival model  0.529          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.880075          0.006593          0.639719          1.507112  
#> 
#> Degrees of Freedom: 182 Total (i.e. Null);  179 Residual
#> Null Deviance:	    253.2 
#> Residual Deviance: 235.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.880075333      0.006593237      0.639718710      1.507112028 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001332944      0.710315280      0.529361704 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.37255135 0.76353142 0.68966918 0.24707906 0.68121266 0.27424323
#>   [7] 0.06620095 0.02312093 0.74742732 0.95872927 0.41838609 0.96572866
#>  [13] 0.86442557 0.51865811 0.48928095 0.81854668 0.17010161 0.79533297
#>  [19] 0.53743803 0.93753787 0.55626860 0.81082862 0.45947292 0.30152928
#>  [25] 0.30152928 0.24707906 0.97956375 0.78741396 0.77151427 0.58439814
#>  [31] 0.41838609 0.30152928 0.39619362 0.85684663 0.27424323 0.73126183
#>  [37] 0.75547607 0.83399693 0.88671909 0.17010161 0.56566814 0.51865811
#>  [43] 0.11221603 0.69813596 0.59372689 0.90875132 0.44913009 0.59372689
#>  [49] 0.17010161 0.88671909 0.47940398 0.39619362 0.97956375 0.83399693
#>  [55] 0.73126183 0.96572866 0.72302660 0.64704802 0.69813596 0.48928095
#>  [61] 0.97956375 0.53743803 0.38436235 0.62051557 0.67269323 0.77151427
#>  [67] 0.23209538 0.86442557 0.63823856 0.45947292 0.57507560 0.34935322
#>  [73] 0.66410419 0.50888022 0.82626916 0.59372689 0.91604595 0.02312093
#>  [79] 0.41838609 0.71473480 0.62051557 0.95168129 0.06620095 0.84920560
#>  [85] 0.64704802 0.93753787 0.90142344 0.93038028 0.14974091 0.11221603
#>  [91] 0.34935322 0.21646425 0.87926287 0.91604595 0.79533297 0.33704484
#>  [97] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    66   125    30    92   111   113    78    24    79    25   139    91   154 
#> 22.13 15.65 17.43 22.92 17.45 22.86 23.88 23.89 16.23  6.32 21.49  5.33 12.63 
#>   158    68   157   164    29   105    16   170    18    90    63  63.1  92.1 
#> 20.14 20.62 15.10 23.60 15.45 19.75  8.71 19.54 15.21 20.94 22.77 22.77 22.92 
#>   127   167     6     8 139.1  63.2   197   123 113.1     5   100    96    42 
#>  3.53 15.55 15.64 18.43 21.49 22.77 21.60 13.00 22.86 16.43 16.07 14.54 12.43 
#> 164.1    58 158.1    86    45   108    43    99 108.1 164.2  42.1    32 197.1 
#> 23.60 19.34 20.14 23.81 17.42 18.29 12.10 21.19 18.29 23.60 12.43 20.90 21.60 
#> 127.1  96.1   5.1  91.1   181    40  45.1  68.1 127.2 105.1   175    51   117 
#>  3.53 14.54 16.43  5.33 16.46 18.00 17.42 20.62  3.53 19.75 21.91 18.23 17.46 
#>   6.1    69 154.1    41  90.1    97   194   184   128   133 108.2   145  24.1 
#> 15.64 23.23 12.63 18.02 20.94 19.14 22.40 17.77 20.35 14.65 18.29 10.07 23.89 
#> 139.2   130  51.1    70  78.1   155  40.1  16.1    49   101   168  86.1 194.1 
#> 21.49 16.47 18.23  7.38 23.88 13.08 18.00  8.71 12.19  9.97 23.72 23.81 22.40 
#>   129   177 145.1  29.1    15    80    53    82    94   148    19   135   143 
#> 23.41 12.53 10.07 15.45 22.68 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186    64    46  82.1   122  19.1    71     2  46.1   132   147    48   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  71.1    44    38   109   119    35   116    62 142.1   141   198     9 119.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   2.1   161   151   120   126   172 119.2    12  38.1 142.2 135.1    72    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  12.1   163    95   137    84   131 109.1    11    20  75.1    67 119.3    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174  38.2    54 172.1   118    98  94.1 122.1 116.1   200   104  80.1   103 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 143.1    22 132.1   121 161.1  84.1 198.1 118.1 161.2  62.1  46.2     7 137.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  53.1 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[29]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.009354476               0.569397665               0.461095152 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.441006574             0.001028824             0.322122187 
#>   grade_iii, Cure model 
#>             1.417322779 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 179   18.63      1  42        0         0
#> 88    18.37      1  47        0         0
#> 93    10.33      1  52        0         1
#> 14    12.89      1  21        0         0
#> 190   20.81      1  42        1         0
#> 85    16.44      1  36        0         0
#> 41    18.02      1  40        1         0
#> 110   17.56      1  65        0         1
#> 13    14.34      1  54        0         1
#> 96    14.54      1  33        0         1
#> 169   22.41      1  46        0         0
#> 32    20.90      1  37        1         0
#> 92    22.92      1  47        0         1
#> 113   22.86      1  34        0         0
#> 111   17.45      1  47        0         1
#> 199   19.81      1  NA        0         1
#> 188   16.16      1  46        0         1
#> 77     7.27      1  67        0         1
#> 23    16.92      1  61        0         0
#> 89    11.44      1  NA        0         0
#> 36    21.19      1  48        0         1
#> 45    17.42      1  54        0         1
#> 111.1 17.45      1  47        0         1
#> 130   16.47      1  53        0         1
#> 61    10.12      1  36        0         1
#> 24    23.89      1  38        0         0
#> 183    9.24      1  67        1         0
#> 16     8.71      1  71        0         1
#> 24.1  23.89      1  38        0         0
#> 56    12.21      1  60        0         0
#> 76    19.22      1  54        0         1
#> 51    18.23      1  83        0         1
#> 181   16.46      1  45        0         1
#> 168   23.72      1  70        0         0
#> 149    8.37      1  33        1         0
#> 183.1  9.24      1  67        1         0
#> 69    23.23      1  25        0         1
#> 14.1  12.89      1  21        0         0
#> 49    12.19      1  48        1         0
#> 93.1  10.33      1  52        0         1
#> 88.1  18.37      1  47        0         0
#> 45.1  17.42      1  54        0         1
#> 127    3.53      1  62        0         1
#> 66    22.13      1  53        0         0
#> 88.2  18.37      1  47        0         0
#> 60    13.15      1  38        1         0
#> 101    9.97      1  10        0         1
#> 68    20.62      1  44        0         0
#> 93.2  10.33      1  52        0         1
#> 39    15.59      1  37        0         1
#> 86    23.81      1  58        0         1
#> 85.1  16.44      1  36        0         0
#> 36.1  21.19      1  48        0         1
#> 68.1  20.62      1  44        0         0
#> 32.1  20.90      1  37        1         0
#> 157   15.10      1  47        0         0
#> 50    10.02      1  NA        1         0
#> 52    10.42      1  52        0         1
#> 181.1 16.46      1  45        0         1
#> 180   14.82      1  37        0         0
#> 101.1  9.97      1  10        0         1
#> 171   16.57      1  41        0         1
#> 42    12.43      1  49        0         1
#> 117   17.46      1  26        0         1
#> 13.1  14.34      1  54        0         1
#> 40    18.00      1  28        1         0
#> 76.1  19.22      1  54        0         1
#> 106   16.67      1  49        1         0
#> 16.1   8.71      1  71        0         1
#> 70     7.38      1  30        1         0
#> 18    15.21      1  49        1         0
#> 110.1 17.56      1  65        0         1
#> 145   10.07      1  65        1         0
#> 128   20.35      1  35        0         1
#> 32.2  20.90      1  37        1         0
#> 63    22.77      1  31        1         0
#> 63.1  22.77      1  31        1         0
#> 5     16.43      1  51        0         1
#> 136   21.83      1  43        0         1
#> 39.1  15.59      1  37        0         1
#> 195   11.76      1  NA        1         0
#> 136.1 21.83      1  43        0         1
#> 130.1 16.47      1  53        0         1
#> 68.2  20.62      1  44        0         0
#> 86.1  23.81      1  58        0         1
#> 85.2  16.44      1  36        0         0
#> 159   10.55      1  50        0         1
#> 61.1  10.12      1  36        0         1
#> 52.1  10.42      1  52        0         1
#> 197   21.60      1  69        1         0
#> 166   19.98      1  48        0         0
#> 91     5.33      1  61        0         1
#> 63.2  22.77      1  31        1         0
#> 145.1 10.07      1  65        1         0
#> 25     6.32      1  34        1         0
#> 155   13.08      1  26        0         0
#> 66.1  22.13      1  53        0         0
#> 140   12.68      1  59        1         0
#> 177   12.53      1  75        0         0
#> 183.2  9.24      1  67        1         0
#> 41.1  18.02      1  40        1         0
#> 114   13.68      1  NA        0         0
#> 97    19.14      1  65        0         1
#> 6     15.64      1  39        0         0
#> 25.1   6.32      1  34        1         0
#> 108   18.29      1  39        0         1
#> 170   19.54      1  43        0         1
#> 130.2 16.47      1  53        0         1
#> 59    10.16      1  NA        1         0
#> 107   11.18      1  54        1         0
#> 52.2  10.42      1  52        0         1
#> 170.1 19.54      1  43        0         1
#> 151   24.00      0  42        0         0
#> 156   24.00      0  50        1         0
#> 1     24.00      0  23        1         0
#> 121   24.00      0  57        1         0
#> 132   24.00      0  55        0         0
#> 64    24.00      0  43        0         0
#> 34    24.00      0  36        0         0
#> 118   24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 46    24.00      0  71        0         0
#> 138   24.00      0  44        1         0
#> 67    24.00      0  25        0         0
#> 200   24.00      0  64        0         0
#> 163   24.00      0  66        0         0
#> 185   24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 12    24.00      0  63        0         0
#> 75    24.00      0  21        1         0
#> 196   24.00      0  19        0         0
#> 95    24.00      0  68        0         1
#> 185.1 24.00      0  44        1         0
#> 152   24.00      0  36        0         1
#> 182   24.00      0  35        0         0
#> 44    24.00      0  56        0         0
#> 161   24.00      0  45        0         0
#> 46.1  24.00      0  71        0         0
#> 172   24.00      0  41        0         0
#> 146   24.00      0  63        1         0
#> 137   24.00      0  45        1         0
#> 142.1 24.00      0  53        0         0
#> 67.1  24.00      0  25        0         0
#> 200.1 24.00      0  64        0         0
#> 98    24.00      0  34        1         0
#> 65    24.00      0  57        1         0
#> 72    24.00      0  40        0         1
#> 72.1  24.00      0  40        0         1
#> 53    24.00      0  32        0         1
#> 48.1  24.00      0  31        1         0
#> 102   24.00      0  49        0         0
#> 75.1  24.00      0  21        1         0
#> 84    24.00      0  39        0         1
#> 62    24.00      0  71        0         0
#> 143   24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 48.2  24.00      0  31        1         0
#> 34.1  24.00      0  36        0         0
#> 87    24.00      0  27        0         0
#> 185.2 24.00      0  44        1         0
#> 131   24.00      0  66        0         0
#> 9     24.00      0  31        1         0
#> 95.1  24.00      0  68        0         1
#> 109   24.00      0  48        0         0
#> 33    24.00      0  53        0         0
#> 200.2 24.00      0  64        0         0
#> 173   24.00      0  19        0         1
#> 84.1  24.00      0  39        0         1
#> 98.1  24.00      0  34        1         0
#> 193   24.00      0  45        0         1
#> 11    24.00      0  42        0         1
#> 156.1 24.00      0  50        1         0
#> 34.2  24.00      0  36        0         0
#> 115   24.00      0  NA        1         0
#> 120   24.00      0  68        0         1
#> 109.1 24.00      0  48        0         0
#> 191   24.00      0  60        0         1
#> 198   24.00      0  66        0         1
#> 131.1 24.00      0  66        0         0
#> 87.1  24.00      0  27        0         0
#> 172.1 24.00      0  41        0         0
#> 121.1 24.00      0  57        1         0
#> 200.3 24.00      0  64        0         0
#> 143.1 24.00      0  51        0         0
#> 47    24.00      0  38        0         1
#> 3     24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 146.1 24.00      0  63        1         0
#> 1.1   24.00      0  23        1         0
#> 131.2 24.00      0  66        0         0
#> 9.1   24.00      0  31        1         0
#> 95.2  24.00      0  68        0         1
#> 137.1 24.00      0  45        1         0
#> 196.1 24.00      0  19        0         0
#> 46.2  24.00      0  71        0         0
#> 193.1 24.00      0  45        0         1
#> 17    24.00      0  38        0         1
#> 161.1 24.00      0  45        0         0
#> 47.1  24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.441          NA        NA      NA
#> 2 age, Cure model          0.00103        NA        NA      NA
#> 3 grade_ii, Cure model     0.322          NA        NA      NA
#> 4 grade_iii, Cure model    1.42           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00935        NA        NA      NA
#> 2 grade_ii, Survival model   0.569          NA        NA      NA
#> 3 grade_iii, Survival model  0.461          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.441007          0.001029          0.322122          1.417323  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.7 
#> Residual Deviance: 248.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.441006574      0.001028824      0.322122187      1.417322779 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.009354476      0.569397665      0.461095152 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.59599208 0.60411609 0.90838749 0.84833220 0.49719736 0.76000316
#>   [7] 0.64304856 0.66481054 0.82726995 0.82185527 0.36420012 0.46740821
#>  [13] 0.28088078 0.30065316 0.68543947 0.78301878 0.97942966 0.71154397
#>  [19] 0.44518781 0.69869015 0.68543947 0.73050390 0.92233944 0.09156089
#>  [25] 0.94950933 0.96247706 0.09156089 0.87413622 0.57113209 0.63546090
#>  [31] 0.74833293 0.23474905 0.97098241 0.94950933 0.25884294 0.84833220
#>  [37] 0.87920025 0.90838749 0.60411609 0.69869015 0.99593548 0.37924926
#>  [43] 0.60411609 0.83783935 0.94056177 0.50700875 0.90838749 0.79435393
#>  [49] 0.18453666 0.76000316 0.44518781 0.50700875 0.46740821 0.81092744
#>  [55] 0.89408871 0.74833293 0.81639892 0.94056177 0.72426572 0.86905000
#>  [61] 0.67858727 0.82726995 0.65759875 0.57113209 0.71795542 0.96247706
#>  [67] 0.97521829 0.80543551 0.66481054 0.93155067 0.53506418 0.46740821
#>  [73] 0.31995095 0.31995095 0.77728242 0.40734925 0.79435393 0.40734925
#>  [79] 0.73050390 0.50700875 0.18453666 0.76000316 0.88917196 0.92233944
#>  [85] 0.89408871 0.43302260 0.54438535 0.99184034 0.31995095 0.93155067
#>  [91] 0.98360570 0.84309027 0.37924926 0.85875580 0.86391849 0.94950933
#>  [97] 0.64304856 0.58781444 0.78869532 0.98360570 0.62764487 0.55361693
#> [103] 0.73050390 0.88421321 0.89408871 0.55361693 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>   179    88    93    14   190    85    41   110    13    96   169    32    92 
#> 18.63 18.37 10.33 12.89 20.81 16.44 18.02 17.56 14.34 14.54 22.41 20.90 22.92 
#>   113   111   188    77    23    36    45 111.1   130    61    24   183    16 
#> 22.86 17.45 16.16  7.27 16.92 21.19 17.42 17.45 16.47 10.12 23.89  9.24  8.71 
#>  24.1    56    76    51   181   168   149 183.1    69  14.1    49  93.1  88.1 
#> 23.89 12.21 19.22 18.23 16.46 23.72  8.37  9.24 23.23 12.89 12.19 10.33 18.37 
#>  45.1   127    66  88.2    60   101    68  93.2    39    86  85.1  36.1  68.1 
#> 17.42  3.53 22.13 18.37 13.15  9.97 20.62 10.33 15.59 23.81 16.44 21.19 20.62 
#>  32.1   157    52 181.1   180 101.1   171    42   117  13.1    40  76.1   106 
#> 20.90 15.10 10.42 16.46 14.82  9.97 16.57 12.43 17.46 14.34 18.00 19.22 16.67 
#>  16.1    70    18 110.1   145   128  32.2    63  63.1     5   136  39.1 136.1 
#>  8.71  7.38 15.21 17.56 10.07 20.35 20.90 22.77 22.77 16.43 21.83 15.59 21.83 
#> 130.1  68.2  86.1  85.2   159  61.1  52.1   197   166    91  63.2 145.1    25 
#> 16.47 20.62 23.81 16.44 10.55 10.12 10.42 21.60 19.98  5.33 22.77 10.07  6.32 
#>   155  66.1   140   177 183.2  41.1    97     6  25.1   108   170 130.2   107 
#> 13.08 22.13 12.68 12.53  9.24 18.02 19.14 15.64  6.32 18.29 19.54 16.47 11.18 
#>  52.2 170.1   151   156     1   121   132    64    34   118    48   142    46 
#> 10.42 19.54 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138    67   200   163   185   148    12    75   196    95 185.1   152   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44   161  46.1   172   146   137 142.1  67.1 200.1    98    65    72  72.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53  48.1   102  75.1    84    62   143    83  48.2  34.1    87 185.2   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9  95.1   109    33 200.2   173  84.1  98.1   193    11 156.1  34.2   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 109.1   191   198 131.1  87.1 172.1 121.1 200.3 143.1    47     3   135 146.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   1.1 131.2   9.1  95.2 137.1 196.1  46.2 193.1    17 161.1  47.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[30]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003924558               0.784724501               0.696789079 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.446804017             0.013782931            -0.093638554 
#>   grade_iii, Cure model 
#>            -0.004114069 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 8     18.43      1  32        0         0
#> 157   15.10      1  47        0         0
#> 13    14.34      1  54        0         1
#> 145   10.07      1  65        1         0
#> 179   18.63      1  42        0         0
#> 100   16.07      1  60        0         0
#> 187    9.92      1  39        1         0
#> 123   13.00      1  44        1         0
#> 51    18.23      1  83        0         1
#> 69    23.23      1  25        0         1
#> 6     15.64      1  39        0         0
#> 167   15.55      1  56        1         0
#> 66    22.13      1  53        0         0
#> 58    19.34      1  39        0         0
#> 66.1  22.13      1  53        0         0
#> 170   19.54      1  43        0         1
#> 76    19.22      1  54        0         1
#> 23    16.92      1  61        0         0
#> 59    10.16      1  NA        1         0
#> 133   14.65      1  57        0         0
#> 192   16.44      1  31        1         0
#> 85    16.44      1  36        0         0
#> 127    3.53      1  62        0         1
#> 92    22.92      1  47        0         1
#> 88    18.37      1  47        0         0
#> 153   21.33      1  55        1         0
#> 117   17.46      1  26        0         1
#> 51.1  18.23      1  83        0         1
#> 40    18.00      1  28        1         0
#> 197   21.60      1  69        1         0
#> 175   21.91      1  43        0         0
#> 107   11.18      1  54        1         0
#> 24    23.89      1  38        0         0
#> 58.1  19.34      1  39        0         0
#> 155   13.08      1  26        0         0
#> 114   13.68      1  NA        0         0
#> 88.1  18.37      1  47        0         0
#> 199   19.81      1  NA        0         1
#> 89    11.44      1  NA        0         0
#> 106   16.67      1  49        1         0
#> 133.1 14.65      1  57        0         0
#> 97    19.14      1  65        0         1
#> 106.1 16.67      1  49        1         0
#> 78    23.88      1  43        0         0
#> 124    9.73      1  NA        1         0
#> 76.1  19.22      1  54        0         1
#> 24.1  23.89      1  38        0         0
#> 78.1  23.88      1  43        0         0
#> 188   16.16      1  46        0         1
#> 43    12.10      1  61        0         1
#> 170.1 19.54      1  43        0         1
#> 166   19.98      1  48        0         0
#> 164   23.60      1  76        0         1
#> 129   23.41      1  53        1         0
#> 117.1 17.46      1  26        0         1
#> 108   18.29      1  39        0         1
#> 199.1 19.81      1  NA        0         1
#> 168   23.72      1  70        0         0
#> 24.2  23.89      1  38        0         0
#> 154   12.63      1  20        1         0
#> 168.1 23.72      1  70        0         0
#> 18    15.21      1  49        1         0
#> 63    22.77      1  31        1         0
#> 153.1 21.33      1  55        1         0
#> 66.2  22.13      1  53        0         0
#> 36    21.19      1  48        0         1
#> 39    15.59      1  37        0         1
#> 16     8.71      1  71        0         1
#> 139   21.49      1  63        1         0
#> 110   17.56      1  65        0         1
#> 117.2 17.46      1  26        0         1
#> 188.1 16.16      1  46        0         1
#> 127.1  3.53      1  62        0         1
#> 184   17.77      1  38        0         0
#> 89.1  11.44      1  NA        0         0
#> 4     17.64      1  NA        0         1
#> 86    23.81      1  58        0         1
#> 85.1  16.44      1  36        0         0
#> 154.1 12.63      1  20        1         0
#> 49    12.19      1  48        1         0
#> 29    15.45      1  68        1         0
#> 37    12.52      1  57        1         0
#> 168.2 23.72      1  70        0         0
#> 49.1  12.19      1  48        1         0
#> 18.1  15.21      1  49        1         0
#> 158   20.14      1  74        1         0
#> 149    8.37      1  33        1         0
#> 180   14.82      1  37        0         0
#> 70     7.38      1  30        1         0
#> 37.1  12.52      1  57        1         0
#> 129.1 23.41      1  53        1         0
#> 150   20.33      1  48        0         0
#> 15    22.68      1  48        0         0
#> 76.2  19.22      1  54        0         1
#> 15.1  22.68      1  48        0         0
#> 40.1  18.00      1  28        1         0
#> 91     5.33      1  61        0         1
#> 23.1  16.92      1  61        0         0
#> 190   20.81      1  42        1         0
#> 42    12.43      1  49        0         1
#> 181   16.46      1  45        0         1
#> 26    15.77      1  49        0         1
#> 15.2  22.68      1  48        0         0
#> 108.1 18.29      1  39        0         1
#> 129.2 23.41      1  53        1         0
#> 16.1   8.71      1  71        0         1
#> 63.1  22.77      1  31        1         0
#> 170.2 19.54      1  43        0         1
#> 6.1   15.64      1  39        0         0
#> 149.1  8.37      1  33        1         0
#> 123.1 13.00      1  44        1         0
#> 108.2 18.29      1  39        0         1
#> 34    24.00      0  36        0         0
#> 2     24.00      0   9        0         0
#> 104   24.00      0  50        1         0
#> 82    24.00      0  34        0         0
#> 80    24.00      0  41        0         0
#> 173   24.00      0  19        0         1
#> 71    24.00      0  51        0         0
#> 74    24.00      0  43        0         1
#> 156   24.00      0  50        1         0
#> 94    24.00      0  51        0         1
#> 118   24.00      0  44        1         0
#> 104.1 24.00      0  50        1         0
#> 80.1  24.00      0  41        0         0
#> 176   24.00      0  43        0         1
#> 118.1 24.00      0  44        1         0
#> 98    24.00      0  34        1         0
#> 28    24.00      0  67        1         0
#> 146   24.00      0  63        1         0
#> 74.1  24.00      0  43        0         1
#> 165   24.00      0  47        0         0
#> 185   24.00      0  44        1         0
#> 137   24.00      0  45        1         0
#> 53    24.00      0  32        0         1
#> 67    24.00      0  25        0         0
#> 67.1  24.00      0  25        0         0
#> 98.1  24.00      0  34        1         0
#> 137.1 24.00      0  45        1         0
#> 198   24.00      0  66        0         1
#> 95    24.00      0  68        0         1
#> 200   24.00      0  64        0         0
#> 196   24.00      0  19        0         0
#> 83    24.00      0   6        0         0
#> 196.1 24.00      0  19        0         0
#> 144   24.00      0  28        0         1
#> 200.1 24.00      0  64        0         0
#> 102   24.00      0  49        0         0
#> 147   24.00      0  76        1         0
#> 122   24.00      0  66        0         0
#> 147.1 24.00      0  76        1         0
#> 11    24.00      0  42        0         1
#> 176.1 24.00      0  43        0         1
#> 44    24.00      0  56        0         0
#> 173.1 24.00      0  19        0         1
#> 148   24.00      0  61        1         0
#> 47    24.00      0  38        0         1
#> 47.1  24.00      0  38        0         1
#> 131   24.00      0  66        0         0
#> 148.1 24.00      0  61        1         0
#> 144.1 24.00      0  28        0         1
#> 20    24.00      0  46        1         0
#> 19    24.00      0  57        0         1
#> 104.2 24.00      0  50        1         0
#> 94.1  24.00      0  51        0         1
#> 176.2 24.00      0  43        0         1
#> 65    24.00      0  57        1         0
#> 176.3 24.00      0  43        0         1
#> 17    24.00      0  38        0         1
#> 31    24.00      0  36        0         1
#> 3     24.00      0  31        1         0
#> 17.1  24.00      0  38        0         1
#> 71.1  24.00      0  51        0         0
#> 3.1   24.00      0  31        1         0
#> 163   24.00      0  66        0         0
#> 132   24.00      0  55        0         0
#> 104.3 24.00      0  50        1         0
#> 176.4 24.00      0  43        0         1
#> 34.1  24.00      0  36        0         0
#> 65.1  24.00      0  57        1         0
#> 72    24.00      0  40        0         1
#> 74.2  24.00      0  43        0         1
#> 22    24.00      0  52        1         0
#> 44.1  24.00      0  56        0         0
#> 121   24.00      0  57        1         0
#> 11.1  24.00      0  42        0         1
#> 165.1 24.00      0  47        0         0
#> 35    24.00      0  51        0         0
#> 80.2  24.00      0  41        0         0
#> 3.2   24.00      0  31        1         0
#> 95.1  24.00      0  68        0         1
#> 20.1  24.00      0  46        1         0
#> 64    24.00      0  43        0         0
#> 12    24.00      0  63        0         0
#> 1     24.00      0  23        1         0
#> 173.2 24.00      0  19        0         1
#> 102.1 24.00      0  49        0         0
#> 147.2 24.00      0  76        1         0
#> 162   24.00      0  51        0         0
#> 28.1  24.00      0  67        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.447          NA        NA      NA
#> 2 age, Cure model          0.0138         NA        NA      NA
#> 3 grade_ii, Cure model    -0.0936         NA        NA      NA
#> 4 grade_iii, Cure model   -0.00411        NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00392        NA        NA      NA
#> 2 grade_ii, Survival model   0.785          NA        NA      NA
#> 3 grade_iii, Survival model  0.697          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.446804          0.013783         -0.093639         -0.004114  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.8 
#> Residual Deviance: 263 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.446804017      0.013782931     -0.093638554     -0.004114069 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003924558      0.784724501      0.696789079 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.52367980 0.80560328 0.83615917 0.93140234 0.51439991 0.73543591
#>   [7] 0.93845384 0.85142449 0.57814404 0.20957001 0.75127908 0.77488763
#>  [13] 0.28973799 0.45837786 0.28973799 0.42999813 0.47761245 0.65478282
#>  [19] 0.82088358 0.69577161 0.69577161 0.98658017 0.22242180 0.53297914
#>  [25] 0.35775476 0.63017698 0.57814404 0.59578488 0.33513587 0.32342666
#>  [31] 0.92431335 0.01770770 0.45837786 0.84378848 0.53297914 0.67138032
#>  [37] 0.82088358 0.50514540 0.67138032 0.05653315 0.47761245 0.01770770
#>  [43] 0.05653315 0.71965887 0.91718208 0.42999813 0.41984565 0.15463983
#>  [49] 0.17154022 0.63017698 0.55152368 0.10702711 0.01770770 0.86640227
#>  [55] 0.10702711 0.79042915 0.23479546 0.35775476 0.28973799 0.37877184
#>  [61] 0.76703066 0.94545898 0.34657659 0.62158987 0.63017698 0.71965887
#>  [67] 0.98658017 0.61293638 0.09026913 0.69577161 0.86640227 0.90291089
#>  [73] 0.78268456 0.88111894 0.10702711 0.90291089 0.79042915 0.40973516
#>  [79] 0.95931121 0.81323858 0.97298075 0.88111894 0.17154022 0.39946263
#>  [85] 0.25677258 0.47761245 0.25677258 0.59578488 0.97979414 0.65478282
#>  [91] 0.38923526 0.89565296 0.68765267 0.74338519 0.25677258 0.55152368
#>  [97] 0.17154022 0.94545898 0.23479546 0.42999813 0.75127908 0.95931121
#> [103] 0.85142449 0.55152368 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>     8   157    13   145   179   100   187   123    51    69     6   167    66 
#> 18.43 15.10 14.34 10.07 18.63 16.07  9.92 13.00 18.23 23.23 15.64 15.55 22.13 
#>    58  66.1   170    76    23   133   192    85   127    92    88   153   117 
#> 19.34 22.13 19.54 19.22 16.92 14.65 16.44 16.44  3.53 22.92 18.37 21.33 17.46 
#>  51.1    40   197   175   107    24  58.1   155  88.1   106 133.1    97 106.1 
#> 18.23 18.00 21.60 21.91 11.18 23.89 19.34 13.08 18.37 16.67 14.65 19.14 16.67 
#>    78  76.1  24.1  78.1   188    43 170.1   166   164   129 117.1   108   168 
#> 23.88 19.22 23.89 23.88 16.16 12.10 19.54 19.98 23.60 23.41 17.46 18.29 23.72 
#>  24.2   154 168.1    18    63 153.1  66.2    36    39    16   139   110 117.2 
#> 23.89 12.63 23.72 15.21 22.77 21.33 22.13 21.19 15.59  8.71 21.49 17.56 17.46 
#> 188.1 127.1   184    86  85.1 154.1    49    29    37 168.2  49.1  18.1   158 
#> 16.16  3.53 17.77 23.81 16.44 12.63 12.19 15.45 12.52 23.72 12.19 15.21 20.14 
#>   149   180    70  37.1 129.1   150    15  76.2  15.1  40.1    91  23.1   190 
#>  8.37 14.82  7.38 12.52 23.41 20.33 22.68 19.22 22.68 18.00  5.33 16.92 20.81 
#>    42   181    26  15.2 108.1 129.2  16.1  63.1 170.2   6.1 149.1 123.1 108.2 
#> 12.43 16.46 15.77 22.68 18.29 23.41  8.71 22.77 19.54 15.64  8.37 13.00 18.29 
#>    34     2   104    82    80   173    71    74   156    94   118 104.1  80.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176 118.1    98    28   146  74.1   165   185   137    53    67  67.1  98.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 137.1   198    95   200   196    83 196.1   144 200.1   102   147   122 147.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11 176.1    44 173.1   148    47  47.1   131 148.1 144.1    20    19 104.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.1 176.2    65 176.3    17    31     3  17.1  71.1   3.1   163   132 104.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 176.4  34.1  65.1    72  74.2    22  44.1   121  11.1 165.1    35  80.2   3.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  95.1  20.1    64    12     1 173.2 102.1 147.2   162  28.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[31]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01382514                1.43309153                0.57402785 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.00028674              0.02199459              0.15565070 
#>   grade_iii, Cure model 
#>              0.50708809 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 183    9.24      1  67        1         0
#> 123   13.00      1  44        1         0
#> 14    12.89      1  21        0         0
#> 177   12.53      1  75        0         0
#> 145   10.07      1  65        1         0
#> 171   16.57      1  41        0         1
#> 164   23.60      1  76        0         1
#> 50    10.02      1  NA        1         0
#> 66    22.13      1  53        0         0
#> 85    16.44      1  36        0         0
#> 90    20.94      1  50        0         1
#> 155   13.08      1  26        0         0
#> 78    23.88      1  43        0         0
#> 78.1  23.88      1  43        0         0
#> 14.1  12.89      1  21        0         0
#> 59    10.16      1  NA        1         0
#> 51    18.23      1  83        0         1
#> 130   16.47      1  53        0         1
#> 158   20.14      1  74        1         0
#> 187    9.92      1  39        1         0
#> 164.1 23.60      1  76        0         1
#> 30    17.43      1  78        0         0
#> 26    15.77      1  49        0         1
#> 25     6.32      1  34        1         0
#> 107   11.18      1  54        1         0
#> 49    12.19      1  48        1         0
#> 4     17.64      1  NA        0         1
#> 57    14.46      1  45        0         1
#> 167   15.55      1  56        1         0
#> 56    12.21      1  60        0         0
#> 78.2  23.88      1  43        0         0
#> 197   21.60      1  69        1         0
#> 175   21.91      1  43        0         0
#> 79    16.23      1  54        1         0
#> 24    23.89      1  38        0         0
#> 139   21.49      1  63        1         0
#> 169   22.41      1  46        0         0
#> 133   14.65      1  57        0         0
#> 107.1 11.18      1  54        1         0
#> 170   19.54      1  43        0         1
#> 105   19.75      1  60        0         0
#> 190   20.81      1  42        1         0
#> 168   23.72      1  70        0         0
#> 140   12.68      1  59        1         0
#> 153   21.33      1  55        1         0
#> 110   17.56      1  65        0         1
#> 99    21.19      1  38        0         1
#> 8     18.43      1  32        0         0
#> 177.1 12.53      1  75        0         0
#> 89    11.44      1  NA        0         0
#> 68    20.62      1  44        0         0
#> 154   12.63      1  20        1         0
#> 154.1 12.63      1  20        1         0
#> 66.1  22.13      1  53        0         0
#> 96    14.54      1  33        0         1
#> 169.1 22.41      1  46        0         0
#> 181   16.46      1  45        0         1
#> 153.1 21.33      1  55        1         0
#> 6     15.64      1  39        0         0
#> 168.1 23.72      1  70        0         0
#> 106   16.67      1  49        1         0
#> 8.1   18.43      1  32        0         0
#> 40    18.00      1  28        1         0
#> 59.1  10.16      1  NA        1         0
#> 170.1 19.54      1  43        0         1
#> 23    16.92      1  61        0         0
#> 51.1  18.23      1  83        0         1
#> 69    23.23      1  25        0         1
#> 93    10.33      1  52        0         1
#> 181.1 16.46      1  45        0         1
#> 66.2  22.13      1  53        0         0
#> 36    21.19      1  48        0         1
#> 108   18.29      1  39        0         1
#> 77     7.27      1  67        0         1
#> 37    12.52      1  57        1         0
#> 113   22.86      1  34        0         0
#> 58    19.34      1  39        0         0
#> 77.1   7.27      1  67        0         1
#> 110.1 17.56      1  65        0         1
#> 184   17.77      1  38        0         0
#> 164.2 23.60      1  76        0         1
#> 167.1 15.55      1  56        1         0
#> 97    19.14      1  65        0         1
#> 49.1  12.19      1  48        1         0
#> 86    23.81      1  58        0         1
#> 4.1   17.64      1  NA        0         1
#> 169.2 22.41      1  46        0         0
#> 149    8.37      1  33        1         0
#> 106.1 16.67      1  49        1         0
#> 175.1 21.91      1  43        0         0
#> 149.1  8.37      1  33        1         0
#> 78.3  23.88      1  43        0         0
#> 106.2 16.67      1  49        1         0
#> 49.2  12.19      1  48        1         0
#> 90.1  20.94      1  50        0         1
#> 52    10.42      1  52        0         1
#> 77.2   7.27      1  67        0         1
#> 79.1  16.23      1  54        1         0
#> 166   19.98      1  48        0         0
#> 81    14.06      1  34        0         0
#> 49.3  12.19      1  48        1         0
#> 5     16.43      1  51        0         1
#> 66.3  22.13      1  53        0         0
#> 136   21.83      1  43        0         1
#> 155.1 13.08      1  26        0         0
#> 86.1  23.81      1  58        0         1
#> 26.1  15.77      1  49        0         1
#> 52.1  10.42      1  52        0         1
#> 92    22.92      1  47        0         1
#> 25.1   6.32      1  34        1         0
#> 70     7.38      1  30        1         0
#> 130.1 16.47      1  53        0         1
#> 62    24.00      0  71        0         0
#> 73    24.00      0  NA        0         1
#> 53    24.00      0  32        0         1
#> 47    24.00      0  38        0         1
#> 34    24.00      0  36        0         0
#> 87    24.00      0  27        0         0
#> 83    24.00      0   6        0         0
#> 176   24.00      0  43        0         1
#> 118   24.00      0  44        1         0
#> 120   24.00      0  68        0         1
#> 119   24.00      0  17        0         0
#> 109   24.00      0  48        0         0
#> 9     24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 83.1  24.00      0   6        0         0
#> 9.1   24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 182   24.00      0  35        0         0
#> 162   24.00      0  51        0         0
#> 200   24.00      0  64        0         0
#> 83.2  24.00      0   6        0         0
#> 165   24.00      0  47        0         0
#> 118.1 24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 28    24.00      0  67        1         0
#> 144   24.00      0  28        0         1
#> 116   24.00      0  58        0         1
#> 64    24.00      0  43        0         0
#> 12    24.00      0  63        0         0
#> 137   24.00      0  45        1         0
#> 131   24.00      0  66        0         0
#> 95    24.00      0  68        0         1
#> 34.1  24.00      0  36        0         0
#> 94    24.00      0  51        0         1
#> 87.1  24.00      0  27        0         0
#> 200.1 24.00      0  64        0         0
#> 53.1  24.00      0  32        0         1
#> 102   24.00      0  49        0         0
#> 3     24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 160   24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 22    24.00      0  52        1         0
#> 162.1 24.00      0  51        0         0
#> 73.1  24.00      0  NA        0         1
#> 12.1  24.00      0  63        0         0
#> 38    24.00      0  31        1         0
#> 87.2  24.00      0  27        0         0
#> 173.1 24.00      0  19        0         1
#> 17    24.00      0  38        0         1
#> 12.2  24.00      0  63        0         0
#> 75    24.00      0  21        1         0
#> 20    24.00      0  46        1         0
#> 28.1  24.00      0  67        1         0
#> 135   24.00      0  58        1         0
#> 65    24.00      0  57        1         0
#> 148   24.00      0  61        1         0
#> 143   24.00      0  51        0         0
#> 73.2  24.00      0  NA        0         1
#> 33    24.00      0  53        0         0
#> 2     24.00      0   9        0         0
#> 198   24.00      0  66        0         1
#> 144.1 24.00      0  28        0         1
#> 83.3  24.00      0   6        0         0
#> 12.3  24.00      0  63        0         0
#> 146   24.00      0  63        1         0
#> 27    24.00      0  63        1         0
#> 82    24.00      0  34        0         0
#> 160.1 24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 54    24.00      0  53        1         0
#> 131.1 24.00      0  66        0         0
#> 83.4  24.00      0   6        0         0
#> 191   24.00      0  60        0         1
#> 135.1 24.00      0  58        1         0
#> 72    24.00      0  40        0         1
#> 19    24.00      0  57        0         1
#> 46    24.00      0  71        0         0
#> 152   24.00      0  36        0         1
#> 141.1 24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 131.2 24.00      0  66        0         0
#> 74    24.00      0  43        0         1
#> 80    24.00      0  41        0         0
#> 28.2  24.00      0  67        1         0
#> 34.2  24.00      0  36        0         0
#> 173.2 24.00      0  19        0         1
#> 148.1 24.00      0  61        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.00          NA        NA      NA
#> 2 age, Cure model           0.0220        NA        NA      NA
#> 3 grade_ii, Cure model      0.156         NA        NA      NA
#> 4 grade_iii, Cure model     0.507         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0138        NA        NA      NA
#> 2 grade_ii, Survival model    1.43          NA        NA      NA
#> 3 grade_iii, Survival model   0.574         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.00029           0.02199           0.15565           0.50709  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.5 
#> Residual Deviance: 253.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.00028674       0.02199459       0.15565070       0.50708809 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01382514       1.43309153       0.57402785 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.9254731729 0.7315757347 0.7415677652 0.7902178841 0.9079445999
#>   [6] 0.5282045762 0.0435134601 0.1209257020 0.5797993387 0.2649922073
#>  [11] 0.7113770806 0.0044823216 0.0044823216 0.7415677652 0.4109923177
#>  [16] 0.5385497978 0.3061696785 0.9167694046 0.0435134601 0.4756225828
#>  [21] 0.6209496971 0.9838607452 0.8637855893 0.8282107467 0.6912612779
#>  [26] 0.6514201648 0.8186884041 0.0044823216 0.2000543079 0.1632341963
#>  [31] 0.6007997897 0.0008261998 0.2121524430 0.0929685502 0.6711947718
#>  [36] 0.8637855893 0.3369386352 0.3265063978 0.2858085064 0.0295122566
#>  [41] 0.7615520045 0.2237518926 0.4541977567 0.2443559649 0.3787195727
#>  [46] 0.7902178841 0.2959092770 0.7714983481 0.7714983481 0.1209257020
#>  [51] 0.6812372602 0.0929685502 0.5591566628 0.2237518926 0.6411640964
#>  [56] 0.0295122566 0.4977685942 0.3787195727 0.4329019765 0.3369386352
#>  [61] 0.4866238141 0.4109923177 0.0667402389 0.8990587768 0.5591566628
#>  [66] 0.1209257020 0.2443559649 0.4001434491 0.9590962077 0.8092280927
#>  [71] 0.0839693227 0.3575058758 0.9590962077 0.4541977567 0.4434976291
#>  [76] 0.0435134601 0.6514201648 0.3680703543 0.8282107467 0.0187155630
#>  [81] 0.0929685502 0.9341232519 0.4977685942 0.1632341963 0.9341232519
#>  [86] 0.0044823216 0.4977685942 0.8282107467 0.2649922073 0.8813983793
#>  [91] 0.9590962077 0.6007997897 0.3162587528 0.7012921295 0.8282107467
#>  [96] 0.5902880909 0.1209257020 0.1874894736 0.7113770806 0.0187155630
#> [101] 0.6209496971 0.8813983793 0.0753183403 0.9838607452 0.9508331866
#> [106] 0.5385497978 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000
#> 
#> $Time
#>   183   123    14   177   145   171   164    66    85    90   155    78  78.1 
#>  9.24 13.00 12.89 12.53 10.07 16.57 23.60 22.13 16.44 20.94 13.08 23.88 23.88 
#>  14.1    51   130   158   187 164.1    30    26    25   107    49    57   167 
#> 12.89 18.23 16.47 20.14  9.92 23.60 17.43 15.77  6.32 11.18 12.19 14.46 15.55 
#>    56  78.2   197   175    79    24   139   169   133 107.1   170   105   190 
#> 12.21 23.88 21.60 21.91 16.23 23.89 21.49 22.41 14.65 11.18 19.54 19.75 20.81 
#>   168   140   153   110    99     8 177.1    68   154 154.1  66.1    96 169.1 
#> 23.72 12.68 21.33 17.56 21.19 18.43 12.53 20.62 12.63 12.63 22.13 14.54 22.41 
#>   181 153.1     6 168.1   106   8.1    40 170.1    23  51.1    69    93 181.1 
#> 16.46 21.33 15.64 23.72 16.67 18.43 18.00 19.54 16.92 18.23 23.23 10.33 16.46 
#>  66.2    36   108    77    37   113    58  77.1 110.1   184 164.2 167.1    97 
#> 22.13 21.19 18.29  7.27 12.52 22.86 19.34  7.27 17.56 17.77 23.60 15.55 19.14 
#>  49.1    86 169.2   149 106.1 175.1 149.1  78.3 106.2  49.2  90.1    52  77.2 
#> 12.19 23.81 22.41  8.37 16.67 21.91  8.37 23.88 16.67 12.19 20.94 10.42  7.27 
#>  79.1   166    81  49.3     5  66.3   136 155.1  86.1  26.1  52.1    92  25.1 
#> 16.23 19.98 14.06 12.19 16.43 22.13 21.83 13.08 23.81 15.77 10.42 22.92  6.32 
#>    70 130.1    62    53    47    34    87    83   176   118   120   119   109 
#>  7.38 16.47 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9    67  83.1   9.1     1   182   162   200  83.2   165 118.1   173    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144   116    64    12   137   131    95  34.1    94  87.1 200.1  53.1   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3   172   160   156    22 162.1  12.1    38  87.2 173.1    17  12.2    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20  28.1   135    65   148   143    33     2   198 144.1  83.3  12.3   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27    82 160.1   141    54 131.1  83.4   191 135.1    72    19    46   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 141.1   132 131.2    74    80  28.2  34.2 173.2 148.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[32]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.02070804                0.46919730                0.15585998 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.17911402              0.02066476              0.33749500 
#>   grade_iii, Cure model 
#>              0.70094060 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 157   15.10      1  47        0         0
#> 101    9.97      1  10        0         1
#> 117   17.46      1  26        0         1
#> 167   15.55      1  56        1         0
#> 106   16.67      1  49        1         0
#> 45    17.42      1  54        0         1
#> 169   22.41      1  46        0         0
#> 97    19.14      1  65        0         1
#> 10    10.53      1  34        0         0
#> 4     17.64      1  NA        0         1
#> 100   16.07      1  60        0         0
#> 183    9.24      1  67        1         0
#> 106.1 16.67      1  49        1         0
#> 59    10.16      1  NA        1         0
#> 183.1  9.24      1  67        1         0
#> 113   22.86      1  34        0         0
#> 140   12.68      1  59        1         0
#> 106.2 16.67      1  49        1         0
#> 29    15.45      1  68        1         0
#> 134   17.81      1  47        1         0
#> 194   22.40      1  38        0         1
#> 199   19.81      1  NA        0         1
#> 90    20.94      1  50        0         1
#> 50    10.02      1  NA        1         0
#> 99    21.19      1  38        0         1
#> 32    20.90      1  37        1         0
#> 157.1 15.10      1  47        0         0
#> 24    23.89      1  38        0         0
#> 169.1 22.41      1  46        0         0
#> 77     7.27      1  67        0         1
#> 37    12.52      1  57        1         0
#> 123   13.00      1  44        1         0
#> 96    14.54      1  33        0         1
#> 86    23.81      1  58        0         1
#> 16     8.71      1  71        0         1
#> 106.3 16.67      1  49        1         0
#> 36    21.19      1  48        0         1
#> 114   13.68      1  NA        0         0
#> 76    19.22      1  54        0         1
#> 133   14.65      1  57        0         0
#> 153   21.33      1  55        1         0
#> 41    18.02      1  40        1         0
#> 190   20.81      1  42        1         0
#> 63    22.77      1  31        1         0
#> 194.1 22.40      1  38        0         1
#> 97.1  19.14      1  65        0         1
#> 145   10.07      1  65        1         0
#> 41.1  18.02      1  40        1         0
#> 124    9.73      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 171   16.57      1  41        0         1
#> 88    18.37      1  47        0         0
#> 100.1 16.07      1  60        0         0
#> 157.2 15.10      1  47        0         0
#> 158   20.14      1  74        1         0
#> 69    23.23      1  25        0         1
#> 114.1 13.68      1  NA        0         0
#> 110   17.56      1  65        0         1
#> 157.3 15.10      1  47        0         0
#> 63.1  22.77      1  31        1         0
#> 51    18.23      1  83        0         1
#> 32.1  20.90      1  37        1         0
#> 86.1  23.81      1  58        0         1
#> 93    10.33      1  52        0         1
#> 183.2  9.24      1  67        1         0
#> 130   16.47      1  53        0         1
#> 8     18.43      1  32        0         0
#> 145.1 10.07      1  65        1         0
#> 130.1 16.47      1  53        0         1
#> 10.1  10.53      1  34        0         0
#> 93.1  10.33      1  52        0         1
#> 101.1  9.97      1  10        0         1
#> 124.1  9.73      1  NA        1         0
#> 32.2  20.90      1  37        1         0
#> 188   16.16      1  46        0         1
#> 117.1 17.46      1  26        0         1
#> 15    22.68      1  48        0         0
#> 177   12.53      1  75        0         0
#> 175   21.91      1  43        0         0
#> 199.1 19.81      1  NA        0         1
#> 140.1 12.68      1  59        1         0
#> 18    15.21      1  49        1         0
#> 128   20.35      1  35        0         1
#> 125   15.65      1  67        1         0
#> 69.1  23.23      1  25        0         1
#> 145.2 10.07      1  65        1         0
#> 197   21.60      1  69        1         0
#> 130.2 16.47      1  53        0         1
#> 192   16.44      1  31        1         0
#> 81    14.06      1  34        0         0
#> 37.1  12.52      1  57        1         0
#> 92    22.92      1  47        0         1
#> 181   16.46      1  45        0         1
#> 153.1 21.33      1  55        1         0
#> 59.1  10.16      1  NA        1         0
#> 113.1 22.86      1  34        0         0
#> 197.1 21.60      1  69        1         0
#> 23    16.92      1  61        0         0
#> 124.2  9.73      1  NA        1         0
#> 149    8.37      1  33        1         0
#> 145.3 10.07      1  65        1         0
#> 63.2  22.77      1  31        1         0
#> 188.1 16.16      1  46        0         1
#> 30    17.43      1  78        0         0
#> 91     5.33      1  61        0         1
#> 171.1 16.57      1  41        0         1
#> 145.4 10.07      1  65        1         0
#> 52    10.42      1  52        0         1
#> 66    22.13      1  53        0         0
#> 166   19.98      1  48        0         0
#> 114.2 13.68      1  NA        0         0
#> 88.1  18.37      1  47        0         0
#> 116   24.00      0  58        0         1
#> 174   24.00      0  49        1         0
#> 148   24.00      0  61        1         0
#> 146   24.00      0  63        1         0
#> 21    24.00      0  47        0         0
#> 19    24.00      0  57        0         1
#> 87    24.00      0  27        0         0
#> 132   24.00      0  55        0         0
#> 28    24.00      0  67        1         0
#> 198   24.00      0  66        0         1
#> 161   24.00      0  45        0         0
#> 182   24.00      0  35        0         0
#> 33    24.00      0  53        0         0
#> 115   24.00      0  NA        1         0
#> 17    24.00      0  38        0         1
#> 120   24.00      0  68        0         1
#> 74    24.00      0  43        0         1
#> 121   24.00      0  57        1         0
#> 143   24.00      0  51        0         0
#> 142   24.00      0  53        0         0
#> 44    24.00      0  56        0         0
#> 109   24.00      0  48        0         0
#> 38    24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 3     24.00      0  31        1         0
#> 131   24.00      0  66        0         0
#> 12    24.00      0  63        0         0
#> 17.1  24.00      0  38        0         1
#> 84    24.00      0  39        0         1
#> 19.1  24.00      0  57        0         1
#> 9     24.00      0  31        1         0
#> 19.2  24.00      0  57        0         1
#> 2     24.00      0   9        0         0
#> 87.1  24.00      0  27        0         0
#> 22    24.00      0  52        1         0
#> 118   24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 1     24.00      0  23        1         0
#> 198.1 24.00      0  66        0         1
#> 176   24.00      0  43        0         1
#> 83    24.00      0   6        0         0
#> 131.1 24.00      0  66        0         0
#> 94    24.00      0  51        0         1
#> 19.3  24.00      0  57        0         1
#> 160   24.00      0  31        1         0
#> 176.1 24.00      0  43        0         1
#> 152   24.00      0  36        0         1
#> 163   24.00      0  66        0         0
#> 62    24.00      0  71        0         0
#> 84.1  24.00      0  39        0         1
#> 75    24.00      0  21        1         0
#> 172   24.00      0  41        0         0
#> 22.1  24.00      0  52        1         0
#> 7     24.00      0  37        1         0
#> 135   24.00      0  58        1         0
#> 142.1 24.00      0  53        0         0
#> 54    24.00      0  53        1         0
#> 178   24.00      0  52        1         0
#> 20    24.00      0  46        1         0
#> 143.1 24.00      0  51        0         0
#> 33.1  24.00      0  53        0         0
#> 156   24.00      0  50        1         0
#> 11    24.00      0  42        0         1
#> 35    24.00      0  51        0         0
#> 47    24.00      0  38        0         1
#> 185   24.00      0  44        1         0
#> 75.1  24.00      0  21        1         0
#> 161.1 24.00      0  45        0         0
#> 196   24.00      0  19        0         0
#> 48    24.00      0  31        1         0
#> 161.2 24.00      0  45        0         0
#> 131.2 24.00      0  66        0         0
#> 141   24.00      0  44        1         0
#> 162   24.00      0  51        0         0
#> 178.1 24.00      0  52        1         0
#> 67    24.00      0  25        0         0
#> 72    24.00      0  40        0         1
#> 20.1  24.00      0  46        1         0
#> 3.1   24.00      0  31        1         0
#> 48.1  24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 38.1  24.00      0  31        1         0
#> 143.2 24.00      0  51        0         0
#> 3.2   24.00      0  31        1         0
#> 7.1   24.00      0  37        1         0
#> 34    24.00      0  36        0         0
#> 191   24.00      0  60        0         1
#> 3.3   24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.18          NA        NA      NA
#> 2 age, Cure model           0.0207        NA        NA      NA
#> 3 grade_ii, Cure model      0.337         NA        NA      NA
#> 4 grade_iii, Cure model     0.701         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0207        NA        NA      NA
#> 2 grade_ii, Survival model    0.469         NA        NA      NA
#> 3 grade_iii, Survival model   0.156         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.17911           0.02066           0.33750           0.70094  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258.3 
#> Residual Deviance: 251.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.17911402       0.02066476       0.33749500       0.70094060 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.02070804       0.46919730       0.15585998 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.9000924 0.9752406 0.7960872 0.8888351 0.8211360 0.8113451 0.5432014
#>   [8] 0.7390560 0.9450113 0.8769693 0.9810004 0.8211360 0.9810004 0.4422103
#>  [15] 0.9284853 0.8211360 0.8926643 0.7855499 0.5707268 0.6744447 0.6578101
#>  [22] 0.6825825 0.9000924 0.1616422 0.5432014 0.9946642 0.9385544 0.9249977
#>  [29] 0.9179295 0.3162359 0.9892363 0.8211360 0.6578101 0.7325789 0.9143704
#>  [36] 0.6403535 0.7746889 0.7047914 0.4815619 0.5707268 0.7390560 0.9608677
#>  [43] 0.7746889 0.2548401 0.8389704 0.7572702 0.8769693 0.9000924 0.7192182
#>  [50] 0.3715792 0.7908798 0.9000924 0.4815619 0.7690274 0.6825825 0.3162359
#>  [57] 0.9546089 0.9810004 0.8477727 0.7512131 0.9608677 0.8477727 0.9450113
#>  [64] 0.9546089 0.9752406 0.6825825 0.8688189 0.7960872 0.5280190 0.9352238
#>  [71] 0.6087178 0.9284853 0.8964046 0.7120564 0.8849372 0.3715792 0.9608677
#>  [78] 0.6207645 0.8477727 0.8646546 0.9214705 0.9385544 0.4200121 0.8604491
#>  [85] 0.6403535 0.4422103 0.6207645 0.8162778 0.9919583 0.9608677 0.4815619
#>  [92] 0.8688189 0.8063340 0.9973433 0.8389704 0.9608677 0.9514235 0.5963186
#>  [99] 0.7259509 0.7572702 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>   157   101   117   167   106    45   169    97    10   100   183 106.1 183.1 
#> 15.10  9.97 17.46 15.55 16.67 17.42 22.41 19.14 10.53 16.07  9.24 16.67  9.24 
#>   113   140 106.2    29   134   194    90    99    32 157.1    24 169.1    77 
#> 22.86 12.68 16.67 15.45 17.81 22.40 20.94 21.19 20.90 15.10 23.89 22.41  7.27 
#>    37   123    96    86    16 106.3    36    76   133   153    41   190    63 
#> 12.52 13.00 14.54 23.81  8.71 16.67 21.19 19.22 14.65 21.33 18.02 20.81 22.77 
#> 194.1  97.1   145  41.1    78   171    88 100.1 157.2   158    69   110 157.3 
#> 22.40 19.14 10.07 18.02 23.88 16.57 18.37 16.07 15.10 20.14 23.23 17.56 15.10 
#>  63.1    51  32.1  86.1    93 183.2   130     8 145.1 130.1  10.1  93.1 101.1 
#> 22.77 18.23 20.90 23.81 10.33  9.24 16.47 18.43 10.07 16.47 10.53 10.33  9.97 
#>  32.2   188 117.1    15   177   175 140.1    18   128   125  69.1 145.2   197 
#> 20.90 16.16 17.46 22.68 12.53 21.91 12.68 15.21 20.35 15.65 23.23 10.07 21.60 
#> 130.2   192    81  37.1    92   181 153.1 113.1 197.1    23   149 145.3  63.2 
#> 16.47 16.44 14.06 12.52 22.92 16.46 21.33 22.86 21.60 16.92  8.37 10.07 22.77 
#> 188.1    30    91 171.1 145.4    52    66   166  88.1   116   174   148   146 
#> 16.16 17.43  5.33 16.57 10.07 10.42 22.13 19.98 18.37 24.00 24.00 24.00 24.00 
#>    21    19    87   132    28   198   161   182    33    17   120    74   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143   142    44   109    38   104     3   131    12  17.1    84  19.1     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  19.2     2  87.1    22   118    80     1 198.1   176    83 131.1    94  19.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160 176.1   152   163    62  84.1    75   172  22.1     7   135 142.1    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178    20 143.1  33.1   156    11    35    47   185  75.1 161.1   196    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.2 131.2   141   162 178.1    67    72  20.1   3.1  48.1    53  38.1 143.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.2   7.1    34   191   3.3 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[33]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001115682               0.531686555               0.635554809 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.405658265             0.009837939            -0.204996760 
#>   grade_iii, Cure model 
#>             0.372404985 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 99    21.19      1  38        0         1
#> 153   21.33      1  55        1         0
#> 15    22.68      1  48        0         0
#> 158   20.14      1  74        1         0
#> 43    12.10      1  61        0         1
#> 50    10.02      1  NA        1         0
#> 159   10.55      1  50        0         1
#> 57    14.46      1  45        0         1
#> 184   17.77      1  38        0         0
#> 89    11.44      1  NA        0         0
#> 93    10.33      1  52        0         1
#> 26    15.77      1  49        0         1
#> 23    16.92      1  61        0         0
#> 127    3.53      1  62        0         1
#> 42    12.43      1  49        0         1
#> 169   22.41      1  46        0         0
#> 190   20.81      1  42        1         0
#> 56    12.21      1  60        0         0
#> 88    18.37      1  47        0         0
#> 149    8.37      1  33        1         0
#> 4     17.64      1  NA        0         1
#> 170   19.54      1  43        0         1
#> 68    20.62      1  44        0         0
#> 123   13.00      1  44        1         0
#> 88.1  18.37      1  47        0         0
#> 183    9.24      1  67        1         0
#> 100   16.07      1  60        0         0
#> 124    9.73      1  NA        1         0
#> 56.1  12.21      1  60        0         0
#> 154   12.63      1  20        1         0
#> 123.1 13.00      1  44        1         0
#> 139   21.49      1  63        1         0
#> 56.2  12.21      1  60        0         0
#> 14    12.89      1  21        0         0
#> 188   16.16      1  46        0         1
#> 179   18.63      1  42        0         0
#> 59    10.16      1  NA        1         0
#> 110   17.56      1  65        0         1
#> 24    23.89      1  38        0         0
#> 52    10.42      1  52        0         1
#> 81    14.06      1  34        0         0
#> 40    18.00      1  28        1         0
#> 93.1  10.33      1  52        0         1
#> 199   19.81      1  NA        0         1
#> 86    23.81      1  58        0         1
#> 187    9.92      1  39        1         0
#> 101    9.97      1  10        0         1
#> 61    10.12      1  36        0         1
#> 170.1 19.54      1  43        0         1
#> 41    18.02      1  40        1         0
#> 124.1  9.73      1  NA        1         0
#> 6     15.64      1  39        0         0
#> 110.1 17.56      1  65        0         1
#> 175   21.91      1  43        0         0
#> 78    23.88      1  43        0         0
#> 57.1  14.46      1  45        0         1
#> 105   19.75      1  60        0         0
#> 188.1 16.16      1  46        0         1
#> 199.1 19.81      1  NA        0         1
#> 56.3  12.21      1  60        0         0
#> 124.2  9.73      1  NA        1         0
#> 169.1 22.41      1  46        0         0
#> 45    17.42      1  54        0         1
#> 91     5.33      1  61        0         1
#> 61.1  10.12      1  36        0         1
#> 8     18.43      1  32        0         0
#> 96    14.54      1  33        0         1
#> 52.1  10.42      1  52        0         1
#> 124.3  9.73      1  NA        1         0
#> 159.1 10.55      1  50        0         1
#> 139.1 21.49      1  63        1         0
#> 42.1  12.43      1  49        0         1
#> 184.1 17.77      1  38        0         0
#> 158.1 20.14      1  74        1         0
#> 42.2  12.43      1  49        0         1
#> 70     7.38      1  30        1         0
#> 192   16.44      1  31        1         0
#> 145   10.07      1  65        1         0
#> 92    22.92      1  47        0         1
#> 63    22.77      1  31        1         0
#> 81.1  14.06      1  34        0         0
#> 136   21.83      1  43        0         1
#> 40.1  18.00      1  28        1         0
#> 169.2 22.41      1  46        0         0
#> 6.1   15.64      1  39        0         0
#> 111   17.45      1  47        0         1
#> 194   22.40      1  38        0         1
#> 179.1 18.63      1  42        0         0
#> 133   14.65      1  57        0         0
#> 188.2 16.16      1  46        0         1
#> 175.1 21.91      1  43        0         0
#> 179.2 18.63      1  42        0         0
#> 192.1 16.44      1  31        1         0
#> 90    20.94      1  50        0         1
#> 179.3 18.63      1  42        0         0
#> 25     6.32      1  34        1         0
#> 195   11.76      1  NA        1         0
#> 4.1   17.64      1  NA        0         1
#> 100.1 16.07      1  60        0         0
#> 134   17.81      1  47        1         0
#> 99.1  21.19      1  38        0         1
#> 36    21.19      1  48        0         1
#> 171   16.57      1  41        0         1
#> 76    19.22      1  54        0         1
#> 58    19.34      1  39        0         0
#> 127.1  3.53      1  62        0         1
#> 78.1  23.88      1  43        0         0
#> 58.1  19.34      1  39        0         0
#> 110.2 17.56      1  65        0         1
#> 168   23.72      1  70        0         0
#> 16     8.71      1  71        0         1
#> 50.1  10.02      1  NA        1         0
#> 112   24.00      0  61        0         0
#> 3     24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 147   24.00      0  76        1         0
#> 126   24.00      0  48        0         0
#> 21    24.00      0  47        0         0
#> 9     24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 143   24.00      0  51        0         0
#> 33    24.00      0  53        0         0
#> 102   24.00      0  49        0         0
#> 54    24.00      0  53        1         0
#> 152   24.00      0  36        0         1
#> 53    24.00      0  32        0         1
#> 12    24.00      0  63        0         0
#> 9.1   24.00      0  31        1         0
#> 147.1 24.00      0  76        1         0
#> 161   24.00      0  45        0         0
#> 186   24.00      0  45        1         0
#> 84    24.00      0  39        0         1
#> 34    24.00      0  36        0         0
#> 103   24.00      0  56        1         0
#> 152.1 24.00      0  36        0         1
#> 83    24.00      0   6        0         0
#> 38    24.00      0  31        1         0
#> 165   24.00      0  47        0         0
#> 186.1 24.00      0  45        1         0
#> 173   24.00      0  19        0         1
#> 80    24.00      0  41        0         0
#> 84.1  24.00      0  39        0         1
#> 19    24.00      0  57        0         1
#> 132   24.00      0  55        0         0
#> 160   24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 172   24.00      0  41        0         0
#> 135   24.00      0  58        1         0
#> 176   24.00      0  43        0         1
#> 173.1 24.00      0  19        0         1
#> 87    24.00      0  27        0         0
#> 53.1  24.00      0  32        0         1
#> 27    24.00      0  63        1         0
#> 17    24.00      0  38        0         1
#> 22    24.00      0  52        1         0
#> 191   24.00      0  60        0         1
#> 47    24.00      0  38        0         1
#> 126.1 24.00      0  48        0         0
#> 161.1 24.00      0  45        0         0
#> 62    24.00      0  71        0         0
#> 193   24.00      0  45        0         1
#> 75    24.00      0  21        1         0
#> 163   24.00      0  66        0         0
#> 152.2 24.00      0  36        0         1
#> 53.2  24.00      0  32        0         1
#> 131   24.00      0  66        0         0
#> 178   24.00      0  52        1         0
#> 120.1 24.00      0  68        0         1
#> 144   24.00      0  28        0         1
#> 135.1 24.00      0  58        1         0
#> 132.1 24.00      0  55        0         0
#> 160.1 24.00      0  31        1         0
#> 186.2 24.00      0  45        1         0
#> 161.2 24.00      0  45        0         0
#> 173.2 24.00      0  19        0         1
#> 102.1 24.00      0  49        0         0
#> 65    24.00      0  57        1         0
#> 20    24.00      0  46        1         0
#> 198   24.00      0  66        0         1
#> 1     24.00      0  23        1         0
#> 152.3 24.00      0  36        0         1
#> 17.1  24.00      0  38        0         1
#> 148   24.00      0  61        1         0
#> 82    24.00      0  34        0         0
#> 38.1  24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 102.2 24.00      0  49        0         0
#> 109   24.00      0  48        0         0
#> 12.1  24.00      0  63        0         0
#> 132.2 24.00      0  55        0         0
#> 115   24.00      0  NA        1         0
#> 82.1  24.00      0  34        0         0
#> 162   24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 33.1  24.00      0  53        0         0
#> 142   24.00      0  53        0         0
#> 1.1   24.00      0  23        1         0
#> 11    24.00      0  42        0         1
#> 191.1 24.00      0  60        0         1
#> 80.1  24.00      0  41        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.406          NA        NA      NA
#> 2 age, Cure model          0.00984        NA        NA      NA
#> 3 grade_ii, Cure model    -0.205          NA        NA      NA
#> 4 grade_iii, Cure model    0.372          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00112        NA        NA      NA
#> 2 grade_ii, Survival model   0.532          NA        NA      NA
#> 3 grade_iii, Survival model  0.636          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.405658          0.009838         -0.204997          0.372405  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    257.1 
#> Residual Deviance: 253.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.405658265      0.009837939     -0.204996760      0.372404985 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001115682      0.531686555      0.635554809 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.29786452 0.28523518 0.14560215 0.36385429 0.85378212 0.86156550
#>   [7] 0.73500523 0.55213510 0.89192124 0.69325384 0.61624198 0.98612409
#>  [13] 0.79961355 0.16100776 0.34205316 0.82285937 0.49384062 0.95775440
#>  [19] 0.39520921 0.35294565 0.76749723 0.49384062 0.94335694 0.67644147
#>  [25] 0.82285937 0.79160342 0.76749723 0.25987702 0.82285937 0.78353909
#>  [31] 0.65142030 0.44519891 0.57105790 0.01341793 0.87684604 0.75124468
#>  [37] 0.52350757 0.89192124 0.07655629 0.93610578 0.92881909 0.90679989
#>  [43] 0.39520921 0.51363413 0.70163113 0.57105790 0.21798828 0.03808799
#>  [49] 0.73500523 0.38464876 0.65142030 0.82285937 0.16100776 0.60727056
#>  [55] 0.97908584 0.90679989 0.48386335 0.72669323 0.87684604 0.86156550
#>  [61] 0.25987702 0.79961355 0.55213510 0.36385429 0.79961355 0.96489856
#>  [67] 0.63409955 0.92148250 0.11371215 0.13028249 0.75124468 0.24606331
#>  [73] 0.52350757 0.16100776 0.70163113 0.59819488 0.20355979 0.44519891
#>  [79] 0.71830255 0.65142030 0.21798828 0.44519891 0.63409955 0.33093993
#>  [85] 0.44519891 0.97200873 0.67644147 0.54260493 0.29786452 0.29786452
#>  [91] 0.62522200 0.43524253 0.41520524 0.98612409 0.03808799 0.41520524
#>  [97] 0.57105790 0.09499233 0.95057595 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    99   153    15   158    43   159    57   184    93    26    23   127    42 
#> 21.19 21.33 22.68 20.14 12.10 10.55 14.46 17.77 10.33 15.77 16.92  3.53 12.43 
#>   169   190    56    88   149   170    68   123  88.1   183   100  56.1   154 
#> 22.41 20.81 12.21 18.37  8.37 19.54 20.62 13.00 18.37  9.24 16.07 12.21 12.63 
#> 123.1   139  56.2    14   188   179   110    24    52    81    40  93.1    86 
#> 13.00 21.49 12.21 12.89 16.16 18.63 17.56 23.89 10.42 14.06 18.00 10.33 23.81 
#>   187   101    61 170.1    41     6 110.1   175    78  57.1   105 188.1  56.3 
#>  9.92  9.97 10.12 19.54 18.02 15.64 17.56 21.91 23.88 14.46 19.75 16.16 12.21 
#> 169.1    45    91  61.1     8    96  52.1 159.1 139.1  42.1 184.1 158.1  42.2 
#> 22.41 17.42  5.33 10.12 18.43 14.54 10.42 10.55 21.49 12.43 17.77 20.14 12.43 
#>    70   192   145    92    63  81.1   136  40.1 169.2   6.1   111   194 179.1 
#>  7.38 16.44 10.07 22.92 22.77 14.06 21.83 18.00 22.41 15.64 17.45 22.40 18.63 
#>   133 188.2 175.1 179.2 192.1    90 179.3    25 100.1   134  99.1    36   171 
#> 14.65 16.16 21.91 18.63 16.44 20.94 18.63  6.32 16.07 17.81 21.19 21.19 16.57 
#>    76    58 127.1  78.1  58.1 110.2   168    16   112     3   120   147   126 
#> 19.22 19.34  3.53 23.88 19.34 17.56 23.72  8.71 24.00 24.00 24.00 24.00 24.00 
#>    21     9   104   143    33   102    54   152    53    12   9.1 147.1   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186    84    34   103 152.1    83    38   165 186.1   173    80  84.1    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   132   160    74   172   135   176 173.1    87  53.1    27    17    22   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47 126.1 161.1    62   193    75   163 152.2  53.2   131   178 120.1   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.1 132.1 160.1 186.2 161.2 173.2 102.1    65    20   198     1 152.3  17.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148    82  38.1   182 102.2   109  12.1 132.2  82.1   162   116  33.1   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   1.1    11 191.1  80.1 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[34]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.007260547               0.433427578               0.399961414 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -0.3614124               0.0108501              -0.3271305 
#>   grade_iii, Cure model 
#>               0.4971257 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 107   11.18      1  54        1         0
#> 90    20.94      1  50        0         1
#> 180   14.82      1  37        0         0
#> 105   19.75      1  60        0         0
#> 111   17.45      1  47        0         1
#> 136   21.83      1  43        0         1
#> 41    18.02      1  40        1         0
#> 51    18.23      1  83        0         1
#> 134   17.81      1  47        1         0
#> 76    19.22      1  54        0         1
#> 45    17.42      1  54        0         1
#> 188   16.16      1  46        0         1
#> 157   15.10      1  47        0         0
#> 97    19.14      1  65        0         1
#> 50    10.02      1  NA        1         0
#> 194   22.40      1  38        0         1
#> 93    10.33      1  52        0         1
#> 37    12.52      1  57        1         0
#> 96    14.54      1  33        0         1
#> 171   16.57      1  41        0         1
#> 99    21.19      1  38        0         1
#> 166   19.98      1  48        0         0
#> 41.1  18.02      1  40        1         0
#> 199   19.81      1  NA        0         1
#> 183    9.24      1  67        1         0
#> 55    19.34      1  69        0         1
#> 197   21.60      1  69        1         0
#> 85    16.44      1  36        0         0
#> 37.1  12.52      1  57        1         0
#> 150   20.33      1  48        0         0
#> 91     5.33      1  61        0         1
#> 91.1   5.33      1  61        0         1
#> 179   18.63      1  42        0         0
#> 101    9.97      1  10        0         1
#> 86    23.81      1  58        0         1
#> 177   12.53      1  75        0         0
#> 129   23.41      1  53        1         0
#> 139   21.49      1  63        1         0
#> 29    15.45      1  68        1         0
#> 136.1 21.83      1  43        0         1
#> 180.1 14.82      1  37        0         0
#> 114   13.68      1  NA        0         0
#> 76.1  19.22      1  54        0         1
#> 30    17.43      1  78        0         0
#> 60    13.15      1  38        1         0
#> 134.1 17.81      1  47        1         0
#> 77     7.27      1  67        0         1
#> 41.2  18.02      1  40        1         0
#> 195   11.76      1  NA        1         0
#> 81    14.06      1  34        0         0
#> 195.1 11.76      1  NA        1         0
#> 16     8.71      1  71        0         1
#> 81.1  14.06      1  34        0         0
#> 68    20.62      1  44        0         0
#> 181   16.46      1  45        0         1
#> 79    16.23      1  54        1         0
#> 42    12.43      1  49        0         1
#> 183.1  9.24      1  67        1         0
#> 26    15.77      1  49        0         1
#> 25     6.32      1  34        1         0
#> 69    23.23      1  25        0         1
#> 66    22.13      1  53        0         0
#> 145   10.07      1  65        1         0
#> 24    23.89      1  38        0         0
#> 114.1 13.68      1  NA        0         0
#> 134.2 17.81      1  47        1         0
#> 58    19.34      1  39        0         0
#> 10    10.53      1  34        0         0
#> 26.1  15.77      1  49        0         1
#> 63    22.77      1  31        1         0
#> 155   13.08      1  26        0         0
#> 30.1  17.43      1  78        0         0
#> 150.1 20.33      1  48        0         0
#> 168   23.72      1  70        0         0
#> 8     18.43      1  32        0         0
#> 105.1 19.75      1  60        0         0
#> 76.2  19.22      1  54        0         1
#> 90.1  20.94      1  50        0         1
#> 127    3.53      1  62        0         1
#> 96.1  14.54      1  33        0         1
#> 175   21.91      1  43        0         0
#> 15    22.68      1  48        0         0
#> 14    12.89      1  21        0         0
#> 106   16.67      1  49        1         0
#> 188.1 16.16      1  46        0         1
#> 180.2 14.82      1  37        0         0
#> 93.1  10.33      1  52        0         1
#> 190   20.81      1  42        1         0
#> 63.1  22.77      1  31        1         0
#> 166.1 19.98      1  48        0         0
#> 61    10.12      1  36        0         1
#> 37.2  12.52      1  57        1         0
#> 88    18.37      1  47        0         0
#> 170   19.54      1  43        0         1
#> 150.2 20.33      1  48        0         0
#> 183.2  9.24      1  67        1         0
#> 169   22.41      1  46        0         0
#> 101.1  9.97      1  10        0         1
#> 123   13.00      1  44        1         0
#> 58.1  19.34      1  39        0         0
#> 134.3 17.81      1  47        1         0
#> 184   17.77      1  38        0         0
#> 24.1  23.89      1  38        0         0
#> 110   17.56      1  65        0         1
#> 57    14.46      1  45        0         1
#> 110.1 17.56      1  65        0         1
#> 85.1  16.44      1  36        0         0
#> 91.2   5.33      1  61        0         1
#> 167   15.55      1  56        1         0
#> 89    11.44      1  NA        0         0
#> 55.1  19.34      1  69        0         1
#> 128   20.35      1  35        0         1
#> 115   24.00      0  NA        1         0
#> 161   24.00      0  45        0         0
#> 98    24.00      0  34        1         0
#> 144   24.00      0  28        0         1
#> 71    24.00      0  51        0         0
#> 38    24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 162   24.00      0  51        0         0
#> 12    24.00      0  63        0         0
#> 196   24.00      0  19        0         0
#> 135   24.00      0  58        1         0
#> 102   24.00      0  49        0         0
#> 116   24.00      0  58        0         1
#> 146   24.00      0  63        1         0
#> 118   24.00      0  44        1         0
#> 72    24.00      0  40        0         1
#> 31    24.00      0  36        0         1
#> 162.1 24.00      0  51        0         0
#> 64    24.00      0  43        0         0
#> 103   24.00      0  56        1         0
#> 3     24.00      0  31        1         0
#> 116.1 24.00      0  58        0         1
#> 84    24.00      0  39        0         1
#> 3.1   24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 65    24.00      0  57        1         0
#> 35    24.00      0  51        0         0
#> 143   24.00      0  51        0         0
#> 193   24.00      0  45        0         1
#> 151   24.00      0  42        0         0
#> 3.2   24.00      0  31        1         0
#> 72.1  24.00      0  40        0         1
#> 62    24.00      0  71        0         0
#> 94    24.00      0  51        0         1
#> 53    24.00      0  32        0         1
#> 176   24.00      0  43        0         1
#> 20    24.00      0  46        1         0
#> 65.1  24.00      0  57        1         0
#> 132   24.00      0  55        0         0
#> 126   24.00      0  48        0         0
#> 9     24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 22    24.00      0  52        1         0
#> 3.3   24.00      0  31        1         0
#> 20.1  24.00      0  46        1         0
#> 173   24.00      0  19        0         1
#> 65.2  24.00      0  57        1         0
#> 33    24.00      0  53        0         0
#> 73    24.00      0  NA        0         1
#> 94.1  24.00      0  51        0         1
#> 174   24.00      0  49        1         0
#> 142   24.00      0  53        0         0
#> 64.1  24.00      0  43        0         0
#> 80    24.00      0  41        0         0
#> 160   24.00      0  31        1         0
#> 176.1 24.00      0  43        0         1
#> 120   24.00      0  68        0         1
#> 121   24.00      0  57        1         0
#> 1     24.00      0  23        1         0
#> 163   24.00      0  66        0         0
#> 115.1 24.00      0  NA        1         0
#> 163.1 24.00      0  66        0         0
#> 174.1 24.00      0  49        1         0
#> 62.1  24.00      0  71        0         0
#> 116.2 24.00      0  58        0         1
#> 71.1  24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 174.2 24.00      0  49        1         0
#> 21    24.00      0  47        0         0
#> 47    24.00      0  38        0         1
#> 148   24.00      0  61        1         0
#> 62.2  24.00      0  71        0         0
#> 9.1   24.00      0  31        1         0
#> 162.2 24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 48    24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 121.1 24.00      0  57        1         0
#> 21.1  24.00      0  47        0         0
#> 147   24.00      0  76        1         0
#> 144.1 24.00      0  28        0         1
#> 84.1  24.00      0  39        0         1
#> 3.4   24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 151.1 24.00      0  42        0         0
#> 47.1  24.00      0  38        0         1
#> 54.1  24.00      0  53        1         0
#> 54.2  24.00      0  53        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.361         NA        NA      NA
#> 2 age, Cure model           0.0109        NA        NA      NA
#> 3 grade_ii, Cure model     -0.327         NA        NA      NA
#> 4 grade_iii, Cure model     0.497         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00726        NA        NA      NA
#> 2 grade_ii, Survival model   0.433          NA        NA      NA
#> 3 grade_iii, Survival model  0.400          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.36141           0.01085          -0.32713           0.49713  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.3 
#> Residual Deviance: 255.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -0.3614124        0.0108501       -0.3271305        0.4971257 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.007260547      0.433427578      0.399961414 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.90629625 0.39497468 0.80787652 0.49731393 0.69824515 0.33207124
#>   [7] 0.62608163 0.61814363 0.64869301 0.56061312 0.71872846 0.76466464
#>  [13] 0.80182514 0.58544110 0.28714665 0.91730502 0.88407403 0.82577205
#>  [19] 0.73213005 0.38323087 0.47777432 0.62608163 0.94945390 0.52591447
#>  [25] 0.35843216 0.74527354 0.88407403 0.44826902 0.98022172 0.98022172
#>  [31] 0.59367267 0.93886102 0.12623101 0.87833697 0.18019457 0.37112898
#>  [37] 0.79575512 0.33207124 0.80787652 0.56061312 0.70516279 0.85516577
#>  [43] 0.64869301 0.97004796 0.62608163 0.84347906 0.96490962 0.84347906
#>  [49] 0.42733943 0.73873302 0.75822956 0.90074390 0.94945390 0.77725212
#>  [55] 0.97514777 0.20178340 0.30244218 0.93351300 0.05909968 0.64869301
#>  [61] 0.52591447 0.91180528 0.77725212 0.22169542 0.86098800 0.70516279
#>  [67] 0.44826902 0.15475561 0.60186375 0.49731393 0.56061312 0.39497468
#>  [73] 0.99506163 0.82577205 0.31738331 0.25450830 0.87257266 0.72546644
#>  [79] 0.76466464 0.80787652 0.91730502 0.41665970 0.22169542 0.47777432
#>  [85] 0.92811947 0.88407403 0.61002577 0.51644336 0.44826902 0.94945390
#>  [91] 0.27102206 0.93886102 0.86680206 0.52591447 0.64869301 0.67712846
#>  [97] 0.05909968 0.68432770 0.83759241 0.68432770 0.74527354 0.98022172
#> [103] 0.78961355 0.52591447 0.43791966 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   107    90   180   105   111   136    41    51   134    76    45   188   157 
#> 11.18 20.94 14.82 19.75 17.45 21.83 18.02 18.23 17.81 19.22 17.42 16.16 15.10 
#>    97   194    93    37    96   171    99   166  41.1   183    55   197    85 
#> 19.14 22.40 10.33 12.52 14.54 16.57 21.19 19.98 18.02  9.24 19.34 21.60 16.44 
#>  37.1   150    91  91.1   179   101    86   177   129   139    29 136.1 180.1 
#> 12.52 20.33  5.33  5.33 18.63  9.97 23.81 12.53 23.41 21.49 15.45 21.83 14.82 
#>  76.1    30    60 134.1    77  41.2    81    16  81.1    68   181    79    42 
#> 19.22 17.43 13.15 17.81  7.27 18.02 14.06  8.71 14.06 20.62 16.46 16.23 12.43 
#> 183.1    26    25    69    66   145    24 134.2    58    10  26.1    63   155 
#>  9.24 15.77  6.32 23.23 22.13 10.07 23.89 17.81 19.34 10.53 15.77 22.77 13.08 
#>  30.1 150.1   168     8 105.1  76.2  90.1   127  96.1   175    15    14   106 
#> 17.43 20.33 23.72 18.43 19.75 19.22 20.94  3.53 14.54 21.91 22.68 12.89 16.67 
#> 188.1 180.2  93.1   190  63.1 166.1    61  37.2    88   170 150.2 183.2   169 
#> 16.16 14.82 10.33 20.81 22.77 19.98 10.12 12.52 18.37 19.54 20.33  9.24 22.41 
#> 101.1   123  58.1 134.3   184  24.1   110    57 110.1  85.1  91.2   167  55.1 
#>  9.97 13.00 19.34 17.81 17.77 23.89 17.56 14.46 17.56 16.44  5.33 15.55 19.34 
#>   128   161    98   144    71    38    11   162    12   196   135   102   116 
#> 20.35 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146   118    72    31 162.1    64   103     3 116.1    84   3.1    46    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35   143   193   151   3.2  72.1    62    94    53   176    20  65.1   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126     9    54    22   3.3  20.1   173  65.2    33  94.1   174   142  64.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80   160 176.1   120   121     1   163 163.1 174.1  62.1 116.2  71.1     2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 174.2    21    47   148  62.2   9.1 162.2   182    48   178 121.1  21.1   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 144.1  84.1   3.4   191 151.1  47.1  54.1  54.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[35]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01453896                0.64880593                0.29295487 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.47741362              0.00595238              0.30163323 
#>   grade_iii, Cure model 
#>              1.03508433 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 91     5.33      1  61        0         1
#> 101    9.97      1  10        0         1
#> 23    16.92      1  61        0         0
#> 36    21.19      1  48        0         1
#> 39    15.59      1  37        0         1
#> 150   20.33      1  48        0         0
#> 150.1 20.33      1  48        0         0
#> 51    18.23      1  83        0         1
#> 168   23.72      1  70        0         0
#> 192   16.44      1  31        1         0
#> 42    12.43      1  49        0         1
#> 167   15.55      1  56        1         0
#> 179   18.63      1  42        0         0
#> 113   22.86      1  34        0         0
#> 76    19.22      1  54        0         1
#> 128   20.35      1  35        0         1
#> 101.1  9.97      1  10        0         1
#> 188   16.16      1  46        0         1
#> 159   10.55      1  50        0         1
#> 79    16.23      1  54        1         0
#> 49    12.19      1  48        1         0
#> 194   22.40      1  38        0         1
#> 184   17.77      1  38        0         0
#> 15    22.68      1  48        0         0
#> 133   14.65      1  57        0         0
#> 140   12.68      1  59        1         0
#> 85    16.44      1  36        0         0
#> 37    12.52      1  57        1         0
#> 164   23.60      1  76        0         1
#> 37.1  12.52      1  57        1         0
#> 90    20.94      1  50        0         1
#> 78    23.88      1  43        0         0
#> 40    18.00      1  28        1         0
#> 149    8.37      1  33        1         0
#> 197   21.60      1  69        1         0
#> 60    13.15      1  38        1         0
#> 194.1 22.40      1  38        0         1
#> 37.2  12.52      1  57        1         0
#> 167.1 15.55      1  56        1         0
#> 37.3  12.52      1  57        1         0
#> 43    12.10      1  61        0         1
#> 36.1  21.19      1  48        0         1
#> 14    12.89      1  21        0         0
#> 77     7.27      1  67        0         1
#> 70     7.38      1  30        1         0
#> 55    19.34      1  69        0         1
#> 166   19.98      1  48        0         0
#> 29    15.45      1  68        1         0
#> 40.1  18.00      1  28        1         0
#> 96    14.54      1  33        0         1
#> 180   14.82      1  37        0         0
#> 15.1  22.68      1  48        0         0
#> 153   21.33      1  55        1         0
#> 5     16.43      1  51        0         1
#> 181   16.46      1  45        0         1
#> 63    22.77      1  31        1         0
#> 194.2 22.40      1  38        0         1
#> 111   17.45      1  47        0         1
#> 86    23.81      1  58        0         1
#> 91.1   5.33      1  61        0         1
#> 157   15.10      1  47        0         0
#> 93    10.33      1  52        0         1
#> 158   20.14      1  74        1         0
#> 57    14.46      1  45        0         1
#> 153.1 21.33      1  55        1         0
#> 70.1   7.38      1  30        1         0
#> 25     6.32      1  34        1         0
#> 39.1  15.59      1  37        0         1
#> 79.1  16.23      1  54        1         0
#> 97    19.14      1  65        0         1
#> 26    15.77      1  49        0         1
#> 181.1 16.46      1  45        0         1
#> 101.2  9.97      1  10        0         1
#> 150.2 20.33      1  48        0         0
#> 85.1  16.44      1  36        0         0
#> 49.1  12.19      1  48        1         0
#> 89    11.44      1  NA        0         0
#> 97.1  19.14      1  65        0         1
#> 91.2   5.33      1  61        0         1
#> 76.1  19.22      1  54        0         1
#> 105   19.75      1  60        0         0
#> 189   10.51      1  NA        1         0
#> 197.1 21.60      1  69        1         0
#> 91.3   5.33      1  61        0         1
#> 133.1 14.65      1  57        0         0
#> 110   17.56      1  65        0         1
#> 70.2   7.38      1  30        1         0
#> 13    14.34      1  54        0         1
#> 85.2  16.44      1  36        0         0
#> 88    18.37      1  47        0         0
#> 177   12.53      1  75        0         0
#> 10    10.53      1  34        0         0
#> 50    10.02      1  NA        1         0
#> 181.2 16.46      1  45        0         1
#> 177.1 12.53      1  75        0         0
#> 107   11.18      1  54        1         0
#> 123   13.00      1  44        1         0
#> 56    12.21      1  60        0         0
#> 187    9.92      1  39        1         0
#> 10.1  10.53      1  34        0         0
#> 101.3  9.97      1  10        0         1
#> 97.2  19.14      1  65        0         1
#> 149.1  8.37      1  33        1         0
#> 23.1  16.92      1  61        0         0
#> 76.2  19.22      1  54        0         1
#> 68    20.62      1  44        0         0
#> 180.1 14.82      1  37        0         0
#> 136   21.83      1  43        0         1
#> 157.1 15.10      1  47        0         0
#> 124    9.73      1  NA        1         0
#> 180.2 14.82      1  37        0         0
#> 15.2  22.68      1  48        0         0
#> 144   24.00      0  28        0         1
#> 161   24.00      0  45        0         0
#> 44    24.00      0  56        0         0
#> 131   24.00      0  66        0         0
#> 142   24.00      0  53        0         0
#> 160   24.00      0  31        1         0
#> 44.1  24.00      0  56        0         0
#> 75    24.00      0  21        1         0
#> 143   24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 102   24.00      0  49        0         0
#> 1     24.00      0  23        1         0
#> 198   24.00      0  66        0         1
#> 142.1 24.00      0  53        0         0
#> 74    24.00      0  43        0         1
#> 87    24.00      0  27        0         0
#> 146   24.00      0  63        1         0
#> 2.1   24.00      0   9        0         0
#> 9     24.00      0  31        1         0
#> 143.1 24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 193   24.00      0  45        0         1
#> 35    24.00      0  51        0         0
#> 112   24.00      0  61        0         0
#> 28    24.00      0  67        1         0
#> 121   24.00      0  57        1         0
#> 146.1 24.00      0  63        1         0
#> 147   24.00      0  76        1         0
#> 65    24.00      0  57        1         0
#> 191   24.00      0  60        0         1
#> 115   24.00      0  NA        1         0
#> 33    24.00      0  53        0         0
#> 22    24.00      0  52        1         0
#> 84    24.00      0  39        0         1
#> 193.1 24.00      0  45        0         1
#> 80    24.00      0  41        0         0
#> 33.1  24.00      0  53        0         0
#> 64    24.00      0  43        0         0
#> 38    24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 121.1 24.00      0  57        1         0
#> 200   24.00      0  64        0         0
#> 75.1  24.00      0  21        1         0
#> 162   24.00      0  51        0         0
#> 38.1  24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 146.2 24.00      0  63        1         0
#> 34    24.00      0  36        0         0
#> 165   24.00      0  47        0         0
#> 163   24.00      0  66        0         0
#> 47    24.00      0  38        0         1
#> 144.1 24.00      0  28        0         1
#> 138   24.00      0  44        1         0
#> 122   24.00      0  66        0         0
#> 141.1 24.00      0  44        1         0
#> 62.1  24.00      0  71        0         0
#> 162.1 24.00      0  51        0         0
#> 2.2   24.00      0   9        0         0
#> 144.2 24.00      0  28        0         1
#> 84.1  24.00      0  39        0         1
#> 137   24.00      0  45        1         0
#> 142.2 24.00      0  53        0         0
#> 131.1 24.00      0  66        0         0
#> 118   24.00      0  44        1         0
#> 112.1 24.00      0  61        0         0
#> 141.2 24.00      0  44        1         0
#> 137.1 24.00      0  45        1         0
#> 193.2 24.00      0  45        0         1
#> 152   24.00      0  36        0         1
#> 98    24.00      0  34        1         0
#> 182   24.00      0  35        0         0
#> 46    24.00      0  71        0         0
#> 191.1 24.00      0  60        0         1
#> 33.2  24.00      0  53        0         0
#> 103   24.00      0  56        1         0
#> 156   24.00      0  50        1         0
#> 165.1 24.00      0  47        0         0
#> 22.1  24.00      0  52        1         0
#> 21    24.00      0  47        0         0
#> 198.1 24.00      0  66        0         1
#> 11.1  24.00      0  42        0         1
#> 11.2  24.00      0  42        0         1
#> 172   24.00      0  41        0         0
#> 119   24.00      0  17        0         0
#> 48    24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 82    24.00      0  34        0         0
#> 161.1 24.00      0  45        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.477          NA        NA      NA
#> 2 age, Cure model          0.00595        NA        NA      NA
#> 3 grade_ii, Cure model     0.302          NA        NA      NA
#> 4 grade_iii, Cure model    1.04           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0145        NA        NA      NA
#> 2 grade_ii, Survival model    0.649         NA        NA      NA
#> 3 grade_iii, Survival model   0.293         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.477414          0.005952          0.301633          1.035084  
#> 
#> Degrees of Freedom: 194 Total (i.e. Null);  191 Residual
#> Null Deviance:	    268.1 
#> Residual Deviance: 259 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.47741362       0.00595238       0.30163323       1.03508433 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01453896       0.64880593       0.29295487 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.9494211550 0.7992359454 0.2540812247 0.0629676486 0.3903970592
#>   [6] 0.0913247268 0.0913247268 0.2012309717 0.0022407453 0.3010629774
#>  [11] 0.6735032038 0.4111405568 0.1840802079 0.0074416357 0.1380441449
#>  [16] 0.0853224425 0.7992359454 0.3697103732 0.7481849921 0.3495799910
#>  [21] 0.6982848007 0.0255921493 0.2271676663 0.0144355289 0.4971804971
#>  [26] 0.5900194685 0.3010629774 0.6258282724 0.0044173080 0.6258282724
#>  [31] 0.0736815897 0.0001407047 0.2101305882 0.8619046135 0.0429636477
#>  [36] 0.5548544483 0.0255921493 0.6258282724 0.4111405568 0.6258282724
#>  [41] 0.7230164583 0.0629676486 0.5782567773 0.9241957150 0.8870772740
#>  [46] 0.1306882194 0.1166189304 0.4320450084 0.2101305882 0.5199445356
#>  [51] 0.4642674717 0.0144355289 0.0528306520 0.3394412237 0.2727202110
#>  [56] 0.0110537393 0.0255921493 0.2449844054 0.0009116318 0.9494211550
#>  [61] 0.4427020339 0.7863213870 0.1099011033 0.5314975300 0.0528306520
#>  [66] 0.8870772740 0.9368226170 0.3903970592 0.3495799910 0.1602698184
#>  [71] 0.3800054854 0.2727202110 0.7992359454 0.0913247268 0.3010629774
#>  [76] 0.6982848007 0.1602698184 0.9494211550 0.1380441449 0.1235370107
#>  [81] 0.0429636477 0.9494211550 0.4971804971 0.2359954882 0.8870772740
#>  [86] 0.5431271847 0.3010629774 0.1925610546 0.6018265599 0.7608581116
#>  [91] 0.2727202110 0.6018265599 0.7355870072 0.5665567121 0.6858288556
#>  [96] 0.8491559741 0.7608581116 0.7992359454 0.1602698184 0.8619046135
#> [101] 0.2540812247 0.1380441449 0.0794011853 0.4642674717 0.0380708382
#> [106] 0.4427020339 0.4642674717 0.0144355289 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>    91   101    23    36    39   150 150.1    51   168   192    42   167   179 
#>  5.33  9.97 16.92 21.19 15.59 20.33 20.33 18.23 23.72 16.44 12.43 15.55 18.63 
#>   113    76   128 101.1   188   159    79    49   194   184    15   133   140 
#> 22.86 19.22 20.35  9.97 16.16 10.55 16.23 12.19 22.40 17.77 22.68 14.65 12.68 
#>    85    37   164  37.1    90    78    40   149   197    60 194.1  37.2 167.1 
#> 16.44 12.52 23.60 12.52 20.94 23.88 18.00  8.37 21.60 13.15 22.40 12.52 15.55 
#>  37.3    43  36.1    14    77    70    55   166    29  40.1    96   180  15.1 
#> 12.52 12.10 21.19 12.89  7.27  7.38 19.34 19.98 15.45 18.00 14.54 14.82 22.68 
#>   153     5   181    63 194.2   111    86  91.1   157    93   158    57 153.1 
#> 21.33 16.43 16.46 22.77 22.40 17.45 23.81  5.33 15.10 10.33 20.14 14.46 21.33 
#>  70.1    25  39.1  79.1    97    26 181.1 101.2 150.2  85.1  49.1  97.1  91.2 
#>  7.38  6.32 15.59 16.23 19.14 15.77 16.46  9.97 20.33 16.44 12.19 19.14  5.33 
#>  76.1   105 197.1  91.3 133.1   110  70.2    13  85.2    88   177    10 181.2 
#> 19.22 19.75 21.60  5.33 14.65 17.56  7.38 14.34 16.44 18.37 12.53 10.53 16.46 
#> 177.1   107   123    56   187  10.1 101.3  97.2 149.1  23.1  76.2    68 180.1 
#> 12.53 11.18 13.00 12.21  9.92 10.53  9.97 19.14  8.37 16.92 19.22 20.62 14.82 
#>   136 157.1 180.2  15.2   144   161    44   131   142   160  44.1    75   143 
#> 21.83 15.10 14.82 22.68 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2   102     1   198 142.1    74    87   146   2.1     9 143.1    62   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35   112    28   121 146.1   147    65   191    33    22    84 193.1    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.1    64    38    11 121.1   200  75.1   162  38.1   141 146.2    34   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163    47 144.1   138   122 141.1  62.1 162.1   2.2 144.2  84.1   137 142.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.1   118 112.1 141.2 137.1 193.2   152    98   182    46 191.1  33.2   103 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156 165.1  22.1    21 198.1  11.1  11.2   172   119    48    95    82 161.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[36]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01035325                0.56342745                0.10344014 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.164521315            -0.004738735            -0.147993161 
#>   grade_iii, Cure model 
#>             0.937209764 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 127    3.53      1  62        0         1
#> 15    22.68      1  48        0         0
#> 157   15.10      1  47        0         0
#> 133   14.65      1  57        0         0
#> 128   20.35      1  35        0         1
#> 91     5.33      1  61        0         1
#> 194   22.40      1  38        0         1
#> 96    14.54      1  33        0         1
#> 41    18.02      1  40        1         0
#> 51    18.23      1  83        0         1
#> 170   19.54      1  43        0         1
#> 23    16.92      1  61        0         0
#> 58    19.34      1  39        0         0
#> 136   21.83      1  43        0         1
#> 40    18.00      1  28        1         0
#> 187    9.92      1  39        1         0
#> 100   16.07      1  60        0         0
#> 58.1  19.34      1  39        0         0
#> 194.1 22.40      1  38        0         1
#> 164   23.60      1  76        0         1
#> 157.1 15.10      1  47        0         0
#> 96.1  14.54      1  33        0         1
#> 97    19.14      1  65        0         1
#> 158   20.14      1  74        1         0
#> 195   11.76      1  NA        1         0
#> 14    12.89      1  21        0         0
#> 150   20.33      1  48        0         0
#> 25     6.32      1  34        1         0
#> 14.1  12.89      1  21        0         0
#> 26    15.77      1  49        0         1
#> 158.1 20.14      1  74        1         0
#> 169   22.41      1  46        0         0
#> 136.1 21.83      1  43        0         1
#> 113   22.86      1  34        0         0
#> 14.2  12.89      1  21        0         0
#> 113.1 22.86      1  34        0         0
#> 16     8.71      1  71        0         1
#> 30    17.43      1  78        0         0
#> 81    14.06      1  34        0         0
#> 37    12.52      1  57        1         0
#> 79    16.23      1  54        1         0
#> 124    9.73      1  NA        1         0
#> 134   17.81      1  47        1         0
#> 69    23.23      1  25        0         1
#> 13    14.34      1  54        0         1
#> 195.1 11.76      1  NA        1         0
#> 32    20.90      1  37        1         0
#> 130   16.47      1  53        0         1
#> 81.1  14.06      1  34        0         0
#> 4     17.64      1  NA        0         1
#> 140   12.68      1  59        1         0
#> 43    12.10      1  61        0         1
#> 150.1 20.33      1  48        0         0
#> 170.1 19.54      1  43        0         1
#> 4.1   17.64      1  NA        0         1
#> 133.1 14.65      1  57        0         0
#> 169.1 22.41      1  46        0         0
#> 89    11.44      1  NA        0         0
#> 100.1 16.07      1  60        0         0
#> 179   18.63      1  42        0         0
#> 69.1  23.23      1  25        0         1
#> 45    17.42      1  54        0         1
#> 190   20.81      1  42        1         0
#> 39    15.59      1  37        0         1
#> 25.1   6.32      1  34        1         0
#> 16.1   8.71      1  71        0         1
#> 60    13.15      1  38        1         0
#> 159   10.55      1  50        0         1
#> 29    15.45      1  68        1         0
#> 153   21.33      1  55        1         0
#> 23.1  16.92      1  61        0         0
#> 5     16.43      1  51        0         1
#> 14.3  12.89      1  21        0         0
#> 125   15.65      1  67        1         0
#> 24    23.89      1  38        0         0
#> 136.2 21.83      1  43        0         1
#> 39.1  15.59      1  37        0         1
#> 52    10.42      1  52        0         1
#> 86    23.81      1  58        0         1
#> 190.1 20.81      1  42        1         0
#> 69.2  23.23      1  25        0         1
#> 127.1  3.53      1  62        0         1
#> 140.1 12.68      1  59        1         0
#> 14.4  12.89      1  21        0         0
#> 81.2  14.06      1  34        0         0
#> 50    10.02      1  NA        1         0
#> 85    16.44      1  36        0         0
#> 23.2  16.92      1  61        0         0
#> 78    23.88      1  43        0         0
#> 139   21.49      1  63        1         0
#> 183    9.24      1  67        1         0
#> 42    12.43      1  49        0         1
#> 49    12.19      1  48        1         0
#> 90    20.94      1  50        0         1
#> 52.1  10.42      1  52        0         1
#> 76    19.22      1  54        0         1
#> 66    22.13      1  53        0         0
#> 136.3 21.83      1  43        0         1
#> 4.2   17.64      1  NA        0         1
#> 194.2 22.40      1  38        0         1
#> 123   13.00      1  44        1         0
#> 105   19.75      1  60        0         0
#> 81.3  14.06      1  34        0         0
#> 24.1  23.89      1  38        0         0
#> 99    21.19      1  38        0         1
#> 5.1   16.43      1  51        0         1
#> 30.1  17.43      1  78        0         0
#> 79.1  16.23      1  54        1         0
#> 99.1  21.19      1  38        0         1
#> 16.2   8.71      1  71        0         1
#> 8     18.43      1  32        0         0
#> 128.1 20.35      1  35        0         1
#> 44    24.00      0  56        0         0
#> 31    24.00      0  36        0         1
#> 178   24.00      0  52        1         0
#> 19    24.00      0  57        0         1
#> 83    24.00      0   6        0         0
#> 11    24.00      0  42        0         1
#> 142   24.00      0  53        0         0
#> 62    24.00      0  71        0         0
#> 28    24.00      0  67        1         0
#> 135   24.00      0  58        1         0
#> 102   24.00      0  49        0         0
#> 142.1 24.00      0  53        0         0
#> 147   24.00      0  76        1         0
#> 80    24.00      0  41        0         0
#> 2     24.00      0   9        0         0
#> 142.2 24.00      0  53        0         0
#> 12    24.00      0  63        0         0
#> 62.1  24.00      0  71        0         0
#> 200   24.00      0  64        0         0
#> 95    24.00      0  68        0         1
#> 193   24.00      0  45        0         1
#> 65    24.00      0  57        1         0
#> 176   24.00      0  43        0         1
#> 162   24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 33    24.00      0  53        0         0
#> 98    24.00      0  34        1         0
#> 163   24.00      0  66        0         0
#> 53    24.00      0  32        0         1
#> 132   24.00      0  55        0         0
#> 118   24.00      0  44        1         0
#> 53.1  24.00      0  32        0         1
#> 19.1  24.00      0  57        0         1
#> 148   24.00      0  61        1         0
#> 121   24.00      0  57        1         0
#> 28.1  24.00      0  67        1         0
#> 176.1 24.00      0  43        0         1
#> 38    24.00      0  31        1         0
#> 176.2 24.00      0  43        0         1
#> 64    24.00      0  43        0         0
#> 2.1   24.00      0   9        0         0
#> 83.1  24.00      0   6        0         0
#> 12.1  24.00      0  63        0         0
#> 147.1 24.00      0  76        1         0
#> 104   24.00      0  50        1         0
#> 1     24.00      0  23        1         0
#> 28.2  24.00      0  67        1         0
#> 103   24.00      0  56        1         0
#> 27    24.00      0  63        1         0
#> 9     24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 112   24.00      0  61        0         0
#> 80.1  24.00      0  41        0         0
#> 198   24.00      0  66        0         1
#> 103.1 24.00      0  56        1         0
#> 120   24.00      0  68        0         1
#> 138   24.00      0  44        1         0
#> 121.1 24.00      0  57        1         0
#> 122   24.00      0  66        0         0
#> 148.1 24.00      0  61        1         0
#> 9.1   24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 200.1 24.00      0  64        0         0
#> 131   24.00      0  66        0         0
#> 22.1  24.00      0  52        1         0
#> 161   24.00      0  45        0         0
#> 3     24.00      0  31        1         0
#> 3.1   24.00      0  31        1         0
#> 71.1  24.00      0  51        0         0
#> 3.2   24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 67.1  24.00      0  25        0         0
#> 72    24.00      0  40        0         1
#> 142.3 24.00      0  53        0         0
#> 115   24.00      0  NA        1         0
#> 31.1  24.00      0  36        0         1
#> 46    24.00      0  71        0         0
#> 146   24.00      0  63        1         0
#> 142.4 24.00      0  53        0         0
#> 112.1 24.00      0  61        0         0
#> 116   24.00      0  58        0         1
#> 191   24.00      0  60        0         1
#> 126   24.00      0  48        0         0
#> 62.2  24.00      0  71        0         0
#> 196.1 24.00      0  19        0         0
#> 87    24.00      0  27        0         0
#> 74    24.00      0  43        0         1
#> 160   24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.165          NA        NA      NA
#> 2 age, Cure model         -0.00474        NA        NA      NA
#> 3 grade_ii, Cure model    -0.148          NA        NA      NA
#> 4 grade_iii, Cure model    0.937          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0104        NA        NA      NA
#> 2 grade_ii, Survival model    0.563         NA        NA      NA
#> 3 grade_iii, Survival model   0.103         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.164521         -0.004739         -0.147993          0.937210  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 253.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.164521315     -0.004738735     -0.147993161      0.937209764 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01035325       0.56342745       0.10344014 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.99056702 0.29043664 0.80385325 0.81553877 0.52594404 0.98578875
#>   [7] 0.33794006 0.82709118 0.65899770 0.65139990 0.58790315 0.70190123
#>  [13] 0.60410457 0.39335562 0.66645299 0.95163494 0.76114987 0.60410457
#>  [19] 0.33794006 0.18316967 0.80385325 0.82709118 0.62804208 0.56283871
#>  [25] 0.87775791 0.54459242 0.97620507 0.87775791 0.77361082 0.56283871
#>  [31] 0.30724004 0.39335562 0.25657961 0.87775791 0.25657961 0.96165141
#>  [37] 0.68099640 0.84426806 0.91548848 0.74851075 0.67379758 0.20474020
#>  [43] 0.83855384 0.49661081 0.72201867 0.84426806 0.90484310 0.93119711
#>  [49] 0.54459242 0.58790315 0.81553877 0.30724004 0.76114987 0.63587508
#>  [55] 0.20474020 0.69495329 0.50689504 0.78591568 0.97620507 0.96165141
#>  [61] 0.86664101 0.93635667 0.79793497 0.45337355 0.70190123 0.73541328
#>  [67] 0.87775791 0.77982429 0.06419449 0.39335562 0.78591568 0.94149186
#>  [73] 0.15722231 0.50689504 0.20474020 0.99056702 0.90484310 0.87775791
#>  [79] 0.84426806 0.72872987 0.70190123 0.12604770 0.44158530 0.95667615
#>  [85] 0.92076005 0.92600633 0.48597948 0.94149186 0.62009273 0.37938925
#>  [91] 0.39335562 0.33794006 0.87223081 0.57957699 0.84426806 0.06419449
#>  [97] 0.46455026 0.73541328 0.68099640 0.74851075 0.46455026 0.96165141
#> [103] 0.64365587 0.52594404 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   127    15   157   133   128    91   194    96    41    51   170    23    58 
#>  3.53 22.68 15.10 14.65 20.35  5.33 22.40 14.54 18.02 18.23 19.54 16.92 19.34 
#>   136    40   187   100  58.1 194.1   164 157.1  96.1    97   158    14   150 
#> 21.83 18.00  9.92 16.07 19.34 22.40 23.60 15.10 14.54 19.14 20.14 12.89 20.33 
#>    25  14.1    26 158.1   169 136.1   113  14.2 113.1    16    30    81    37 
#>  6.32 12.89 15.77 20.14 22.41 21.83 22.86 12.89 22.86  8.71 17.43 14.06 12.52 
#>    79   134    69    13    32   130  81.1   140    43 150.1 170.1 133.1 169.1 
#> 16.23 17.81 23.23 14.34 20.90 16.47 14.06 12.68 12.10 20.33 19.54 14.65 22.41 
#> 100.1   179  69.1    45   190    39  25.1  16.1    60   159    29   153  23.1 
#> 16.07 18.63 23.23 17.42 20.81 15.59  6.32  8.71 13.15 10.55 15.45 21.33 16.92 
#>     5  14.3   125    24 136.2  39.1    52    86 190.1  69.2 127.1 140.1  14.4 
#> 16.43 12.89 15.65 23.89 21.83 15.59 10.42 23.81 20.81 23.23  3.53 12.68 12.89 
#>  81.2    85  23.2    78   139   183    42    49    90  52.1    76    66 136.3 
#> 14.06 16.44 16.92 23.88 21.49  9.24 12.43 12.19 20.94 10.42 19.22 22.13 21.83 
#> 194.2   123   105  81.3  24.1    99   5.1  30.1  79.1  99.1  16.2     8 128.1 
#> 22.40 13.00 19.75 14.06 23.89 21.19 16.43 17.43 16.23 21.19  8.71 18.43 20.35 
#>    44    31   178    19    83    11   142    62    28   135   102 142.1   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80     2 142.2    12  62.1   200    95   193    65   176   162    22    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98   163    53   132   118  53.1  19.1   148   121  28.1 176.1    38 176.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64   2.1  83.1  12.1 147.1   104     1  28.2   103    27     9    67   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  80.1   198 103.1   120   138 121.1   122 148.1   9.1    71 200.1   131  22.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161     3   3.1  71.1   3.2   196  67.1    72 142.3  31.1    46   146 142.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 112.1   116   191   126  62.2 196.1    87    74   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[37]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005965352               0.554803111               0.342752285 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.07528137              0.02645817              0.16140945 
#>   grade_iii, Cure model 
#>              0.35029634 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 68    20.62      1  44        0         0
#> 58    19.34      1  39        0         0
#> 180   14.82      1  37        0         0
#> 25     6.32      1  34        1         0
#> 167   15.55      1  56        1         0
#> 76    19.22      1  54        0         1
#> 123   13.00      1  44        1         0
#> 70     7.38      1  30        1         0
#> 158   20.14      1  74        1         0
#> 134   17.81      1  47        1         0
#> 5     16.43      1  51        0         1
#> 159   10.55      1  50        0         1
#> 177   12.53      1  75        0         0
#> 61    10.12      1  36        0         1
#> 25.1   6.32      1  34        1         0
#> 153   21.33      1  55        1         0
#> 105   19.75      1  60        0         0
#> 55    19.34      1  69        0         1
#> 180.1 14.82      1  37        0         0
#> 24    23.89      1  38        0         0
#> 24.1  23.89      1  38        0         0
#> 91     5.33      1  61        0         1
#> 123.1 13.00      1  44        1         0
#> 123.2 13.00      1  44        1         0
#> 128   20.35      1  35        0         1
#> 90    20.94      1  50        0         1
#> 77     7.27      1  67        0         1
#> 170   19.54      1  43        0         1
#> 81    14.06      1  34        0         0
#> 158.1 20.14      1  74        1         0
#> 56    12.21      1  60        0         0
#> 26    15.77      1  49        0         1
#> 70.1   7.38      1  30        1         0
#> 129   23.41      1  53        1         0
#> 184   17.77      1  38        0         0
#> 175   21.91      1  43        0         0
#> 78    23.88      1  43        0         0
#> 91.1   5.33      1  61        0         1
#> 187    9.92      1  39        1         0
#> 81.1  14.06      1  34        0         0
#> 158.2 20.14      1  74        1         0
#> 57    14.46      1  45        0         1
#> 91.2   5.33      1  61        0         1
#> 76.1  19.22      1  54        0         1
#> 169   22.41      1  46        0         0
#> 14    12.89      1  21        0         0
#> 69    23.23      1  25        0         1
#> 129.1 23.41      1  53        1         0
#> 175.1 21.91      1  43        0         0
#> 181   16.46      1  45        0         1
#> 90.1  20.94      1  50        0         1
#> 81.2  14.06      1  34        0         0
#> 194   22.40      1  38        0         1
#> 157   15.10      1  47        0         0
#> 41    18.02      1  40        1         0
#> 49    12.19      1  48        1         0
#> 171   16.57      1  41        0         1
#> 139   21.49      1  63        1         0
#> 184.1 17.77      1  38        0         0
#> 155   13.08      1  26        0         0
#> 10    10.53      1  34        0         0
#> 5.1   16.43      1  51        0         1
#> 5.2   16.43      1  51        0         1
#> 134.1 17.81      1  47        1         0
#> 78.1  23.88      1  43        0         0
#> 97    19.14      1  65        0         1
#> 14.1  12.89      1  21        0         0
#> 169.1 22.41      1  46        0         0
#> 13    14.34      1  54        0         1
#> 170.1 19.54      1  43        0         1
#> 125   15.65      1  67        1         0
#> 159.1 10.55      1  50        0         1
#> 68.1  20.62      1  44        0         0
#> 77.1   7.27      1  67        0         1
#> 180.2 14.82      1  37        0         0
#> 90.2  20.94      1  50        0         1
#> 52    10.42      1  52        0         1
#> 166   19.98      1  48        0         0
#> 100   16.07      1  60        0         0
#> 23    16.92      1  61        0         0
#> 159.2 10.55      1  50        0         1
#> 179   18.63      1  42        0         0
#> 76.2  19.22      1  54        0         1
#> 92    22.92      1  47        0         1
#> 157.1 15.10      1  47        0         0
#> 57.1  14.46      1  45        0         1
#> 36    21.19      1  48        0         1
#> 155.1 13.08      1  26        0         0
#> 23.1  16.92      1  61        0         0
#> 56.1  12.21      1  60        0         0
#> 49.1  12.19      1  48        1         0
#> 134.2 17.81      1  47        1         0
#> 14.2  12.89      1  21        0         0
#> 66    22.13      1  53        0         0
#> 6     15.64      1  39        0         0
#> 86    23.81      1  58        0         1
#> 79    16.23      1  54        1         0
#> 194.1 22.40      1  38        0         1
#> 24.2  23.89      1  38        0         0
#> 197   21.60      1  69        1         0
#> 140   12.68      1  59        1         0
#> 18    15.21      1  49        1         0
#> 93    10.33      1  52        0         1
#> 57.2  14.46      1  45        0         1
#> 140.1 12.68      1  59        1         0
#> 90.3  20.94      1  50        0         1
#> 166.1 19.98      1  48        0         0
#> 52.1  10.42      1  52        0         1
#> 29    15.45      1  68        1         0
#> 60    13.15      1  38        1         0
#> 99    21.19      1  38        0         1
#> 97.1  19.14      1  65        0         1
#> 162   24.00      0  51        0         0
#> 191   24.00      0  60        0         1
#> 165   24.00      0  47        0         0
#> 182   24.00      0  35        0         0
#> 141   24.00      0  44        1         0
#> 182.1 24.00      0  35        0         0
#> 62    24.00      0  71        0         0
#> 137   24.00      0  45        1         0
#> 83    24.00      0   6        0         0
#> 144   24.00      0  28        0         1
#> 9     24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 121   24.00      0  57        1         0
#> 109   24.00      0  48        0         0
#> 2     24.00      0   9        0         0
#> 161   24.00      0  45        0         0
#> 71    24.00      0  51        0         0
#> 9.1   24.00      0  31        1         0
#> 198   24.00      0  66        0         1
#> 28    24.00      0  67        1         0
#> 138   24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 126   24.00      0  48        0         0
#> 148   24.00      0  61        1         0
#> 83.1  24.00      0   6        0         0
#> 73    24.00      0  NA        0         1
#> 1     24.00      0  23        1         0
#> 126.1 24.00      0  48        0         0
#> 191.1 24.00      0  60        0         1
#> 83.2  24.00      0   6        0         0
#> 71.1  24.00      0  51        0         0
#> 64    24.00      0  43        0         0
#> 9.2   24.00      0  31        1         0
#> 198.1 24.00      0  66        0         1
#> 74    24.00      0  43        0         1
#> 191.2 24.00      0  60        0         1
#> 83.3  24.00      0   6        0         0
#> 75    24.00      0  21        1         0
#> 115   24.00      0  NA        1         0
#> 132   24.00      0  55        0         0
#> 27    24.00      0  63        1         0
#> 144.1 24.00      0  28        0         1
#> 38    24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 132.1 24.00      0  55        0         0
#> 72    24.00      0  40        0         1
#> 135   24.00      0  58        1         0
#> 126.2 24.00      0  48        0         0
#> 73.1  24.00      0  NA        0         1
#> 200   24.00      0  64        0         0
#> 71.2  24.00      0  51        0         0
#> 176   24.00      0  43        0         1
#> 162.1 24.00      0  51        0         0
#> 67.1  24.00      0  25        0         0
#> 135.1 24.00      0  58        1         0
#> 53    24.00      0  32        0         1
#> 87    24.00      0  27        0         0
#> 173   24.00      0  19        0         1
#> 160   24.00      0  31        1         0
#> 144.2 24.00      0  28        0         1
#> 33    24.00      0  53        0         0
#> 84    24.00      0  39        0         1
#> 162.2 24.00      0  51        0         0
#> 9.3   24.00      0  31        1         0
#> 2.1   24.00      0   9        0         0
#> 156   24.00      0  50        1         0
#> 84.1  24.00      0  39        0         1
#> 62.1  24.00      0  71        0         0
#> 144.3 24.00      0  28        0         1
#> 72.1  24.00      0  40        0         1
#> 34    24.00      0  36        0         0
#> 80    24.00      0  41        0         0
#> 12    24.00      0  63        0         0
#> 103   24.00      0  56        1         0
#> 191.3 24.00      0  60        0         1
#> 182.2 24.00      0  35        0         0
#> 72.2  24.00      0  40        0         1
#> 176.1 24.00      0  43        0         1
#> 17    24.00      0  38        0         1
#> 53.1  24.00      0  32        0         1
#> 182.3 24.00      0  35        0         0
#> 122   24.00      0  66        0         0
#> 83.4  24.00      0   6        0         0
#> 95    24.00      0  68        0         1
#> 178   24.00      0  52        1         0
#> 17.1  24.00      0  38        0         1
#> 186   24.00      0  45        1         0
#> 53.2  24.00      0  32        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.08          NA        NA      NA
#> 2 age, Cure model           0.0265        NA        NA      NA
#> 3 grade_ii, Cure model      0.161         NA        NA      NA
#> 4 grade_iii, Cure model     0.350         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00597        NA        NA      NA
#> 2 grade_ii, Survival model   0.555          NA        NA      NA
#> 3 grade_iii, Survival model  0.343          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.07528           0.02646           0.16141           0.35030  
#> 
#> Degrees of Freedom: 196 Total (i.e. Null);  193 Residual
#> Null Deviance:	    269.4 
#> Residual Deviance: 260.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.07528137       0.02645817       0.16140945       0.35029634 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005965352      0.554803111      0.342752285 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.234978191 0.332605079 0.609456506 0.956488538 0.564836470 0.350622356
#>   [7] 0.725714517 0.921344700 0.261885023 0.413503874 0.493364948 0.841252225
#>  [13] 0.796543477 0.903508695 0.956488538 0.174166196 0.305600637 0.332605079
#>  [19] 0.609456506 0.007954745 0.007954745 0.973934290 0.725714517 0.725714517
#>  [25] 0.252838131 0.201186213 0.938907515 0.314720782 0.671854780 0.261885023
#>  [31] 0.805501224 0.537863956 0.921344700 0.056743710 0.439620277 0.136904249
#>  [37] 0.027888134 0.973934290 0.912443262 0.671854780 0.261885023 0.636196789
#>  [43] 0.973934290 0.350622356 0.092179649 0.752202220 0.074151456 0.056743710
#>  [49] 0.136904249 0.484337250 0.201186213 0.671854780 0.110074400 0.591652663
#>  [55] 0.404423565 0.823436465 0.475296558 0.164827526 0.439620277 0.707722584
#>  [61] 0.867795797 0.493364948 0.493364948 0.413503874 0.027888134 0.377256821
#>  [67] 0.752202220 0.092179649 0.662850826 0.314720782 0.546861250 0.841252225
#>  [73] 0.234978191 0.938907515 0.609456506 0.201186213 0.876752368 0.287790049
#>  [79] 0.528858872 0.457352280 0.841252225 0.395266810 0.350622356 0.083196474
#>  [85] 0.591652663 0.636196789 0.183379308 0.707722584 0.457352280 0.805501224
#>  [91] 0.823436465 0.413503874 0.752202220 0.127624998 0.555833776 0.046337086
#>  [97] 0.519899689 0.110074400 0.007954745 0.155384161 0.778800289 0.582748774
#> [103] 0.894562048 0.636196789 0.778800289 0.201186213 0.287790049 0.876752368
#> [109] 0.573803863 0.698701876 0.183379308 0.377256821 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    68    58   180    25   167    76   123    70   158   134     5   159   177 
#> 20.62 19.34 14.82  6.32 15.55 19.22 13.00  7.38 20.14 17.81 16.43 10.55 12.53 
#>    61  25.1   153   105    55 180.1    24  24.1    91 123.1 123.2   128    90 
#> 10.12  6.32 21.33 19.75 19.34 14.82 23.89 23.89  5.33 13.00 13.00 20.35 20.94 
#>    77   170    81 158.1    56    26  70.1   129   184   175    78  91.1   187 
#>  7.27 19.54 14.06 20.14 12.21 15.77  7.38 23.41 17.77 21.91 23.88  5.33  9.92 
#>  81.1 158.2    57  91.2  76.1   169    14    69 129.1 175.1   181  90.1  81.2 
#> 14.06 20.14 14.46  5.33 19.22 22.41 12.89 23.23 23.41 21.91 16.46 20.94 14.06 
#>   194   157    41    49   171   139 184.1   155    10   5.1   5.2 134.1  78.1 
#> 22.40 15.10 18.02 12.19 16.57 21.49 17.77 13.08 10.53 16.43 16.43 17.81 23.88 
#>    97  14.1 169.1    13 170.1   125 159.1  68.1  77.1 180.2  90.2    52   166 
#> 19.14 12.89 22.41 14.34 19.54 15.65 10.55 20.62  7.27 14.82 20.94 10.42 19.98 
#>   100    23 159.2   179  76.2    92 157.1  57.1    36 155.1  23.1  56.1  49.1 
#> 16.07 16.92 10.55 18.63 19.22 22.92 15.10 14.46 21.19 13.08 16.92 12.21 12.19 
#> 134.2  14.2    66     6    86    79 194.1  24.2   197   140    18    93  57.2 
#> 17.81 12.89 22.13 15.64 23.81 16.23 22.40 23.89 21.60 12.68 15.21 10.33 14.46 
#> 140.1  90.3 166.1  52.1    29    60    99  97.1   162   191   165   182   141 
#> 12.68 20.94 19.98 10.42 15.45 13.15 21.19 19.14 24.00 24.00 24.00 24.00 24.00 
#> 182.1    62   137    83   144     9    67   121   109     2   161    71   9.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198    28   138    82   126   148  83.1     1 126.1 191.1  83.2  71.1    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.2 198.1    74 191.2  83.3    75   132    27 144.1    38    46 132.1    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135 126.2   200  71.2   176 162.1  67.1 135.1    53    87   173   160 144.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33    84 162.2   9.3   2.1   156  84.1  62.1 144.3  72.1    34    80    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103 191.3 182.2  72.2 176.1    17  53.1 182.3   122  83.4    95   178  17.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186  53.2 
#> 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[38]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002236192               0.579286862               0.421715194 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.066756278             0.004707428            -0.181796525 
#>   grade_iii, Cure model 
#>             0.370019444 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 8     18.43      1  32        0         0
#> 101    9.97      1  10        0         1
#> 91     5.33      1  61        0         1
#> 85    16.44      1  36        0         0
#> 55    19.34      1  69        0         1
#> 154   12.63      1  20        1         0
#> 110   17.56      1  65        0         1
#> 63    22.77      1  31        1         0
#> 43    12.10      1  61        0         1
#> 52    10.42      1  52        0         1
#> 61    10.12      1  36        0         1
#> 133   14.65      1  57        0         0
#> 195   11.76      1  NA        1         0
#> 145   10.07      1  65        1         0
#> 57    14.46      1  45        0         1
#> 93    10.33      1  52        0         1
#> 90    20.94      1  50        0         1
#> 155   13.08      1  26        0         0
#> 189   10.51      1  NA        1         0
#> 139   21.49      1  63        1         0
#> 52.1  10.42      1  52        0         1
#> 69    23.23      1  25        0         1
#> 133.1 14.65      1  57        0         0
#> 15    22.68      1  48        0         0
#> 91.1   5.33      1  61        0         1
#> 107   11.18      1  54        1         0
#> 63.1  22.77      1  31        1         0
#> 194   22.40      1  38        0         1
#> 23    16.92      1  61        0         0
#> 177   12.53      1  75        0         0
#> 30    17.43      1  78        0         0
#> 189.1 10.51      1  NA        1         0
#> 58    19.34      1  39        0         0
#> 169   22.41      1  46        0         0
#> 18    15.21      1  49        1         0
#> 45    17.42      1  54        0         1
#> 157   15.10      1  47        0         0
#> 188   16.16      1  46        0         1
#> 61.1  10.12      1  36        0         1
#> 49    12.19      1  48        1         0
#> 179   18.63      1  42        0         0
#> 70     7.38      1  30        1         0
#> 125   15.65      1  67        1         0
#> 99    21.19      1  38        0         1
#> 124    9.73      1  NA        1         0
#> 85.1  16.44      1  36        0         0
#> 23.1  16.92      1  61        0         0
#> 52.2  10.42      1  52        0         1
#> 190   20.81      1  42        1         0
#> 170   19.54      1  43        0         1
#> 157.1 15.10      1  47        0         0
#> 153   21.33      1  55        1         0
#> 16     8.71      1  71        0         1
#> 187    9.92      1  39        1         0
#> 170.1 19.54      1  43        0         1
#> 57.1  14.46      1  45        0         1
#> 37    12.52      1  57        1         0
#> 24    23.89      1  38        0         0
#> 184   17.77      1  38        0         0
#> 168   23.72      1  70        0         0
#> 175   21.91      1  43        0         0
#> 42    12.43      1  49        0         1
#> 60    13.15      1  38        1         0
#> 81    14.06      1  34        0         0
#> 140   12.68      1  59        1         0
#> 93.1  10.33      1  52        0         1
#> 32    20.90      1  37        1         0
#> 111   17.45      1  47        0         1
#> 188.1 16.16      1  46        0         1
#> 149    8.37      1  33        1         0
#> 167   15.55      1  56        1         0
#> 14    12.89      1  21        0         0
#> 107.1 11.18      1  54        1         0
#> 15.1  22.68      1  48        0         0
#> 18.1  15.21      1  49        1         0
#> 145.1 10.07      1  65        1         0
#> 128   20.35      1  35        0         1
#> 167.1 15.55      1  56        1         0
#> 154.1 12.63      1  20        1         0
#> 181   16.46      1  45        0         1
#> 192   16.44      1  31        1         0
#> 79    16.23      1  54        1         0
#> 170.2 19.54      1  43        0         1
#> 168.1 23.72      1  70        0         0
#> 157.2 15.10      1  47        0         0
#> 16.1   8.71      1  71        0         1
#> 97    19.14      1  65        0         1
#> 8.1   18.43      1  32        0         0
#> 149.1  8.37      1  33        1         0
#> 101.1  9.97      1  10        0         1
#> 45.1  17.42      1  54        0         1
#> 86    23.81      1  58        0         1
#> 125.1 15.65      1  67        1         0
#> 18.2  15.21      1  49        1         0
#> 166   19.98      1  48        0         0
#> 168.2 23.72      1  70        0         0
#> 175.1 21.91      1  43        0         0
#> 188.2 16.16      1  46        0         1
#> 10    10.53      1  34        0         0
#> 192.1 16.44      1  31        1         0
#> 30.1  17.43      1  78        0         0
#> 14.1  12.89      1  21        0         0
#> 101.2  9.97      1  10        0         1
#> 90.1  20.94      1  50        0         1
#> 39    15.59      1  37        0         1
#> 127    3.53      1  62        0         1
#> 134   17.81      1  47        1         0
#> 56    12.21      1  60        0         0
#> 110.1 17.56      1  65        0         1
#> 50    10.02      1  NA        1         0
#> 10.1  10.53      1  34        0         0
#> 194.1 22.40      1  38        0         1
#> 67    24.00      0  25        0         0
#> 138   24.00      0  44        1         0
#> 21    24.00      0  47        0         0
#> 64    24.00      0  43        0         0
#> 46    24.00      0  71        0         0
#> 172   24.00      0  41        0         0
#> 193   24.00      0  45        0         1
#> 46.1  24.00      0  71        0         0
#> 102   24.00      0  49        0         0
#> 28    24.00      0  67        1         0
#> 17    24.00      0  38        0         1
#> 34    24.00      0  36        0         0
#> 48    24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 200   24.00      0  64        0         0
#> 33    24.00      0  53        0         0
#> 198   24.00      0  66        0         1
#> 7     24.00      0  37        1         0
#> 31    24.00      0  36        0         1
#> 132   24.00      0  55        0         0
#> 48.1  24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 3     24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 191   24.00      0  60        0         1
#> 148   24.00      0  61        1         0
#> 147   24.00      0  76        1         0
#> 141   24.00      0  44        1         0
#> 174   24.00      0  49        1         0
#> 1     24.00      0  23        1         0
#> 142   24.00      0  53        0         0
#> 11    24.00      0  42        0         1
#> 65.1  24.00      0  57        1         0
#> 98    24.00      0  34        1         0
#> 74    24.00      0  43        0         1
#> 141.1 24.00      0  44        1         0
#> 44    24.00      0  56        0         0
#> 75.1  24.00      0  21        1         0
#> 176   24.00      0  43        0         1
#> 112   24.00      0  61        0         0
#> 112.1 24.00      0  61        0         0
#> 116   24.00      0  58        0         1
#> 120   24.00      0  68        0         1
#> 102.1 24.00      0  49        0         0
#> 82    24.00      0  34        0         0
#> 144   24.00      0  28        0         1
#> 73    24.00      0  NA        0         1
#> 103   24.00      0  56        1         0
#> 87    24.00      0  27        0         0
#> 118   24.00      0  44        1         0
#> 193.1 24.00      0  45        0         1
#> 1.1   24.00      0  23        1         0
#> 28.1  24.00      0  67        1         0
#> 162   24.00      0  51        0         0
#> 21.1  24.00      0  47        0         0
#> 138.1 24.00      0  44        1         0
#> 73.1  24.00      0  NA        0         1
#> 72    24.00      0  40        0         1
#> 119   24.00      0  17        0         0
#> 71    24.00      0  51        0         0
#> 74.1  24.00      0  43        0         1
#> 28.2  24.00      0  67        1         0
#> 17.1  24.00      0  38        0         1
#> 152   24.00      0  36        0         1
#> 193.2 24.00      0  45        0         1
#> 191.1 24.00      0  60        0         1
#> 173   24.00      0  19        0         1
#> 44.1  24.00      0  56        0         0
#> 176.1 24.00      0  43        0         1
#> 28.3  24.00      0  67        1         0
#> 84    24.00      0  39        0         1
#> 178   24.00      0  52        1         0
#> 165   24.00      0  47        0         0
#> 74.2  24.00      0  43        0         1
#> 28.4  24.00      0  67        1         0
#> 62    24.00      0  71        0         0
#> 2     24.00      0   9        0         0
#> 38    24.00      0  31        1         0
#> 200.1 24.00      0  64        0         0
#> 156   24.00      0  50        1         0
#> 48.2  24.00      0  31        1         0
#> 141.2 24.00      0  44        1         0
#> 176.2 24.00      0  43        0         1
#> 200.2 24.00      0  64        0         0
#> 47    24.00      0  38        0         1
#> 182   24.00      0  35        0         0
#> 103.1 24.00      0  56        1         0
#> 144.1 24.00      0  28        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.0668         NA        NA      NA
#> 2 age, Cure model          0.00471        NA        NA      NA
#> 3 grade_ii, Cure model    -0.182          NA        NA      NA
#> 4 grade_iii, Cure model    0.370          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00224        NA        NA      NA
#> 2 grade_ii, Survival model   0.579          NA        NA      NA
#> 3 grade_iii, Survival model  0.422          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.066756          0.004707         -0.181797          0.370019  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.3 
#> Residual Deviance: 262.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.066756278      0.004707428     -0.181796525      0.370019444 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002236192      0.579286862      0.421715194 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.37522452 0.91228796 0.97838102 0.50609679 0.33675858 0.74935458
#>   [7] 0.41346630 0.10331627 0.80502165 0.84390263 0.88210850 0.66762152
#>  [13] 0.89726716 0.68410100 0.86684317 0.24582432 0.71681201 0.21143284
#>  [19] 0.84390263 0.08807326 0.66762152 0.12726025 0.97838102 0.81289357
#>  [25] 0.10331627 0.16453849 0.47840985 0.76526836 0.44144277 0.33675858
#>  [31] 0.15168451 0.61872612 0.46005663 0.64312741 0.55028112 0.88210850
#>  [37] 0.79712423 0.36556642 0.97111557 0.57621888 0.23462193 0.50609679
#>  [43] 0.47840985 0.84390263 0.27758330 0.30823502 0.64312741 0.22320136
#>  [49] 0.94187039 0.93445853 0.30823502 0.68410100 0.77327999 0.01022176
#>  [55] 0.40390366 0.04728274 0.18784978 0.78124448 0.70865204 0.70043155
#>  [61] 0.74123244 0.86684317 0.26703397 0.43209941 0.55028112 0.95656649
#>  [67] 0.60195055 0.72497724 0.81289357 0.12726025 0.61872612 0.89726716
#>  [73] 0.28788802 0.60195055 0.74935458 0.49685338 0.50609679 0.54133485
#>  [79] 0.30823502 0.04728274 0.64312741 0.94187039 0.35593117 0.37522452
#>  [85] 0.95656649 0.91228796 0.46005663 0.03036252 0.57621888 0.61872612
#>  [91] 0.29804384 0.04728274 0.18784978 0.55028112 0.82838747 0.50609679
#>  [97] 0.44144277 0.72497724 0.91228796 0.24582432 0.59336505 0.99278758
#> [103] 0.39435945 0.78917934 0.41346630 0.82838747 0.16453849 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>     8   101    91    85    55   154   110    63    43    52    61   133   145 
#> 18.43  9.97  5.33 16.44 19.34 12.63 17.56 22.77 12.10 10.42 10.12 14.65 10.07 
#>    57    93    90   155   139  52.1    69 133.1    15  91.1   107  63.1   194 
#> 14.46 10.33 20.94 13.08 21.49 10.42 23.23 14.65 22.68  5.33 11.18 22.77 22.40 
#>    23   177    30    58   169    18    45   157   188  61.1    49   179    70 
#> 16.92 12.53 17.43 19.34 22.41 15.21 17.42 15.10 16.16 10.12 12.19 18.63  7.38 
#>   125    99  85.1  23.1  52.2   190   170 157.1   153    16   187 170.1  57.1 
#> 15.65 21.19 16.44 16.92 10.42 20.81 19.54 15.10 21.33  8.71  9.92 19.54 14.46 
#>    37    24   184   168   175    42    60    81   140  93.1    32   111 188.1 
#> 12.52 23.89 17.77 23.72 21.91 12.43 13.15 14.06 12.68 10.33 20.90 17.45 16.16 
#>   149   167    14 107.1  15.1  18.1 145.1   128 167.1 154.1   181   192    79 
#>  8.37 15.55 12.89 11.18 22.68 15.21 10.07 20.35 15.55 12.63 16.46 16.44 16.23 
#> 170.2 168.1 157.2  16.1    97   8.1 149.1 101.1  45.1    86 125.1  18.2   166 
#> 19.54 23.72 15.10  8.71 19.14 18.43  8.37  9.97 17.42 23.81 15.65 15.21 19.98 
#> 168.2 175.1 188.2    10 192.1  30.1  14.1 101.2  90.1    39   127   134    56 
#> 23.72 21.91 16.16 10.53 16.44 17.43 12.89  9.97 20.94 15.59  3.53 17.81 12.21 
#> 110.1  10.1 194.1    67   138    21    64    46   172   193  46.1   102    28 
#> 17.56 10.53 22.40 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17    34    48    65   200    33   198     7    31   132  48.1   185     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75   191   148   147   141   174     1   142    11  65.1    98    74 141.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44  75.1   176   112 112.1   116   120 102.1    82   144   103    87   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.1   1.1  28.1   162  21.1 138.1    72   119    71  74.1  28.2  17.1   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.2 191.1   173  44.1 176.1  28.3    84   178   165  74.2  28.4    62     2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38 200.1   156  48.2 141.2 176.2 200.2    47   182 103.1 144.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[39]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005956469               1.002561769               0.615284864 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.317061771             0.004819835             0.361984572 
#>   grade_iii, Cure model 
#>             0.630596062 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 157   15.10      1  47        0         0
#> 127    3.53      1  62        0         1
#> 124    9.73      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 26    15.77      1  49        0         1
#> 140   12.68      1  59        1         0
#> 70     7.38      1  30        1         0
#> 30    17.43      1  78        0         0
#> 68    20.62      1  44        0         0
#> 184   17.77      1  38        0         0
#> 57    14.46      1  45        0         1
#> 128   20.35      1  35        0         1
#> 56    12.21      1  60        0         0
#> 195   11.76      1  NA        1         0
#> 40    18.00      1  28        1         0
#> 30.1  17.43      1  78        0         0
#> 105   19.75      1  60        0         0
#> 133   14.65      1  57        0         0
#> 140.1 12.68      1  59        1         0
#> 140.2 12.68      1  59        1         0
#> 40.1  18.00      1  28        1         0
#> 29    15.45      1  68        1         0
#> 179   18.63      1  42        0         0
#> 101    9.97      1  10        0         1
#> 58    19.34      1  39        0         0
#> 91     5.33      1  61        0         1
#> 79    16.23      1  54        1         0
#> 192   16.44      1  31        1         0
#> 154   12.63      1  20        1         0
#> 10    10.53      1  34        0         0
#> 68.1  20.62      1  44        0         0
#> 169   22.41      1  46        0         0
#> 76    19.22      1  54        0         1
#> 60    13.15      1  38        1         0
#> 153   21.33      1  55        1         0
#> 189   10.51      1  NA        1         0
#> 57.1  14.46      1  45        0         1
#> 140.3 12.68      1  59        1         0
#> 51    18.23      1  83        0         1
#> 187    9.92      1  39        1         0
#> 101.1  9.97      1  10        0         1
#> 68.2  20.62      1  44        0         0
#> 25     6.32      1  34        1         0
#> 183    9.24      1  67        1         0
#> 128.1 20.35      1  35        0         1
#> 96    14.54      1  33        0         1
#> 93    10.33      1  52        0         1
#> 91.1   5.33      1  61        0         1
#> 187.1  9.92      1  39        1         0
#> 159   10.55      1  50        0         1
#> 90    20.94      1  50        0         1
#> 96.1  14.54      1  33        0         1
#> 57.2  14.46      1  45        0         1
#> 105.1 19.75      1  60        0         0
#> 106   16.67      1  49        1         0
#> 93.1  10.33      1  52        0         1
#> 8.1   18.43      1  32        0         0
#> 100   16.07      1  60        0         0
#> 70.1   7.38      1  30        1         0
#> 107   11.18      1  54        1         0
#> 153.1 21.33      1  55        1         0
#> 117   17.46      1  26        0         1
#> 15    22.68      1  48        0         0
#> 30.2  17.43      1  78        0         0
#> 192.1 16.44      1  31        1         0
#> 96.2  14.54      1  33        0         1
#> 77     7.27      1  67        0         1
#> 90.1  20.94      1  50        0         1
#> 90.2  20.94      1  50        0         1
#> 32    20.90      1  37        1         0
#> 49    12.19      1  48        1         0
#> 93.2  10.33      1  52        0         1
#> 155   13.08      1  26        0         0
#> 55    19.34      1  69        0         1
#> 39    15.59      1  37        0         1
#> 37    12.52      1  57        1         0
#> 169.1 22.41      1  46        0         0
#> 52    10.42      1  52        0         1
#> 149    8.37      1  33        1         0
#> 106.1 16.67      1  49        1         0
#> 85    16.44      1  36        0         0
#> 68.3  20.62      1  44        0         0
#> 154.1 12.63      1  20        1         0
#> 10.1  10.53      1  34        0         0
#> 134   17.81      1  47        1         0
#> 180   14.82      1  37        0         0
#> 92    22.92      1  47        0         1
#> 114   13.68      1  NA        0         0
#> 110   17.56      1  65        0         1
#> 24    23.89      1  38        0         0
#> 192.2 16.44      1  31        1         0
#> 89    11.44      1  NA        0         0
#> 70.2   7.38      1  30        1         0
#> 39.1  15.59      1  37        0         1
#> 97    19.14      1  65        0         1
#> 140.4 12.68      1  59        1         0
#> 125   15.65      1  67        1         0
#> 171   16.57      1  41        0         1
#> 111   17.45      1  47        0         1
#> 140.5 12.68      1  59        1         0
#> 66    22.13      1  53        0         0
#> 6     15.64      1  39        0         0
#> 130   16.47      1  53        0         1
#> 59    10.16      1  NA        1         0
#> 55.1  19.34      1  69        0         1
#> 100.1 16.07      1  60        0         0
#> 25.1   6.32      1  34        1         0
#> 166   19.98      1  48        0         0
#> 66.1  22.13      1  53        0         0
#> 199   19.81      1  NA        0         1
#> 195.1 11.76      1  NA        1         0
#> 66.2  22.13      1  53        0         0
#> 1     24.00      0  23        1         0
#> 173   24.00      0  19        0         1
#> 143   24.00      0  51        0         0
#> 75    24.00      0  21        1         0
#> 82    24.00      0  34        0         0
#> 116   24.00      0  58        0         1
#> 17    24.00      0  38        0         1
#> 162   24.00      0  51        0         0
#> 120   24.00      0  68        0         1
#> 21    24.00      0  47        0         0
#> 17.1  24.00      0  38        0         1
#> 143.1 24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 17.2  24.00      0  38        0         1
#> 75.1  24.00      0  21        1         0
#> 147   24.00      0  76        1         0
#> 143.2 24.00      0  51        0         0
#> 173.1 24.00      0  19        0         1
#> 152   24.00      0  36        0         1
#> 118.1 24.00      0  44        1         0
#> 119   24.00      0  17        0         0
#> 65    24.00      0  57        1         0
#> 35    24.00      0  51        0         0
#> 72    24.00      0  40        0         1
#> 98    24.00      0  34        1         0
#> 21.1  24.00      0  47        0         0
#> 67    24.00      0  25        0         0
#> 163   24.00      0  66        0         0
#> 162.1 24.00      0  51        0         0
#> 74    24.00      0  43        0         1
#> 148   24.00      0  61        1         0
#> 151   24.00      0  42        0         0
#> 9     24.00      0  31        1         0
#> 146   24.00      0  63        1         0
#> 38    24.00      0  31        1         0
#> 12    24.00      0  63        0         0
#> 35.1  24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 83    24.00      0   6        0         0
#> 19    24.00      0  57        0         1
#> 33    24.00      0  53        0         0
#> 94    24.00      0  51        0         1
#> 162.2 24.00      0  51        0         0
#> 33.1  24.00      0  53        0         0
#> 176   24.00      0  43        0         1
#> 142   24.00      0  53        0         0
#> 141   24.00      0  44        1         0
#> 11    24.00      0  42        0         1
#> 74.1  24.00      0  43        0         1
#> 172   24.00      0  41        0         0
#> 27.1  24.00      0  63        1         0
#> 9.1   24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 131   24.00      0  66        0         0
#> 191   24.00      0  60        0         1
#> 67.1  24.00      0  25        0         0
#> 200   24.00      0  64        0         0
#> 126   24.00      0  48        0         0
#> 147.1 24.00      0  76        1         0
#> 27.2  24.00      0  63        1         0
#> 9.2   24.00      0  31        1         0
#> 75.2  24.00      0  21        1         0
#> 9.3   24.00      0  31        1         0
#> 198   24.00      0  66        0         1
#> 122   24.00      0  66        0         0
#> 11.1  24.00      0  42        0         1
#> 87    24.00      0  27        0         0
#> 182   24.00      0  35        0         0
#> 132   24.00      0  55        0         0
#> 141.1 24.00      0  44        1         0
#> 38.1  24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 71    24.00      0  51        0         0
#> 115.1 24.00      0  NA        1         0
#> 112   24.00      0  61        0         0
#> 73    24.00      0  NA        0         1
#> 35.2  24.00      0  51        0         0
#> 73.1  24.00      0  NA        0         1
#> 71.1  24.00      0  51        0         0
#> 71.2  24.00      0  51        0         0
#> 53    24.00      0  32        0         1
#> 27.3  24.00      0  63        1         0
#> 162.3 24.00      0  51        0         0
#> 116.1 24.00      0  58        0         1
#> 116.2 24.00      0  58        0         1
#> 3     24.00      0  31        1         0
#> 121   24.00      0  57        1         0
#> 165   24.00      0  47        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.317          NA        NA      NA
#> 2 age, Cure model          0.00482        NA        NA      NA
#> 3 grade_ii, Cure model     0.362          NA        NA      NA
#> 4 grade_iii, Cure model    0.631          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00596        NA        NA      NA
#> 2 grade_ii, Survival model   1.00           NA        NA      NA
#> 3 grade_iii, Survival model  0.615          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.31706           0.00482           0.36198           0.63060  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258.5 
#> Residual Deviance: 255.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.317061771      0.004819835      0.361984572      0.630596062 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005956469      1.002561769      0.615284864 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.657874540 0.993291576 0.365896133 0.604634961 0.751956396 0.939094395
#>   [7] 0.472212585 0.198345559 0.431198167 0.709891162 0.242336268 0.821226803
#>  [13] 0.399892852 0.472212585 0.275762081 0.675437035 0.751956396 0.751956396
#>  [19] 0.399892852 0.649133188 0.354549702 0.895953558 0.298612647 0.979894888
#>  [25] 0.577565095 0.541811659 0.798277913 0.851449395 0.198345559 0.051389316
#>  [31] 0.331920989 0.735141213 0.126193383 0.709891162 0.751956396 0.388476769
#>  [37] 0.910545879 0.895953558 0.198345559 0.966445521 0.924871815 0.242336268
#>  [43] 0.684262800 0.873888472 0.979894888 0.910545879 0.843963914 0.152442485
#>  [49] 0.684262800 0.709891162 0.275762081 0.502588382 0.873888472 0.365896133
#>  [55] 0.586579390 0.939094395 0.836453544 0.126193383 0.451917077 0.036602711
#>  [61] 0.472212585 0.541811659 0.684262800 0.959579764 0.152442485 0.152442485
#>  [67] 0.186943535 0.828876800 0.873888472 0.743541984 0.298612647 0.631576208
#>  [73] 0.813598160 0.051389316 0.866402543 0.932016716 0.502588382 0.541811659
#>  [79] 0.198345559 0.798277913 0.851449395 0.420858064 0.666644348 0.023213101
#>  [85] 0.441588750 0.006624054 0.541811659 0.939094395 0.631576208 0.343283099
#>  [91] 0.751956396 0.613679217 0.522221252 0.462109214 0.751956396 0.080404777
#>  [97] 0.622614382 0.532047948 0.298612647 0.586579390 0.966445521 0.264379827
#> [103] 0.080404777 0.080404777 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000
#> 
#> $Time
#>   157   127     8    26   140    70    30    68   184    57   128    56    40 
#> 15.10  3.53 18.43 15.77 12.68  7.38 17.43 20.62 17.77 14.46 20.35 12.21 18.00 
#>  30.1   105   133 140.1 140.2  40.1    29   179   101    58    91    79   192 
#> 17.43 19.75 14.65 12.68 12.68 18.00 15.45 18.63  9.97 19.34  5.33 16.23 16.44 
#>   154    10  68.1   169    76    60   153  57.1 140.3    51   187 101.1  68.2 
#> 12.63 10.53 20.62 22.41 19.22 13.15 21.33 14.46 12.68 18.23  9.92  9.97 20.62 
#>    25   183 128.1    96    93  91.1 187.1   159    90  96.1  57.2 105.1   106 
#>  6.32  9.24 20.35 14.54 10.33  5.33  9.92 10.55 20.94 14.54 14.46 19.75 16.67 
#>  93.1   8.1   100  70.1   107 153.1   117    15  30.2 192.1  96.2    77  90.1 
#> 10.33 18.43 16.07  7.38 11.18 21.33 17.46 22.68 17.43 16.44 14.54  7.27 20.94 
#>  90.2    32    49  93.2   155    55    39    37 169.1    52   149 106.1    85 
#> 20.94 20.90 12.19 10.33 13.08 19.34 15.59 12.52 22.41 10.42  8.37 16.67 16.44 
#>  68.3 154.1  10.1   134   180    92   110    24 192.2  70.2  39.1    97 140.4 
#> 20.62 12.63 10.53 17.81 14.82 22.92 17.56 23.89 16.44  7.38 15.59 19.14 12.68 
#>   125   171   111 140.5    66     6   130  55.1 100.1  25.1   166  66.1  66.2 
#> 15.65 16.57 17.45 12.68 22.13 15.64 16.47 19.34 16.07  6.32 19.98 22.13 22.13 
#>     1   173   143    75    82   116    17   162   120    21  17.1 143.1   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.2  75.1   147 143.2 173.1   152 118.1   119    65    35    72    98  21.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67   163 162.1    74   148   151     9   146    38    12  35.1    27    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19    33    94 162.2  33.1   176   142   141    11  74.1   172  27.1   9.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54   131   191  67.1   200   126 147.1  27.2   9.2  75.2   9.3   198   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  11.1    87   182   132 141.1  38.1    71   112  35.2  71.1  71.2    53  27.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 162.3 116.1 116.2     3   121   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[40]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01133765                0.25282213                0.18011908 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.795512938             0.007810368             0.570866178 
#>   grade_iii, Cure model 
#>             1.259308823 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 92    22.92      1  47        0         1
#> 105   19.75      1  60        0         0
#> 69    23.23      1  25        0         1
#> 124    9.73      1  NA        1         0
#> 158   20.14      1  74        1         0
#> 159   10.55      1  50        0         1
#> 197   21.60      1  69        1         0
#> 157   15.10      1  47        0         0
#> 110   17.56      1  65        0         1
#> 70     7.38      1  30        1         0
#> 4     17.64      1  NA        0         1
#> 23    16.92      1  61        0         0
#> 169   22.41      1  46        0         0
#> 14    12.89      1  21        0         0
#> 90    20.94      1  50        0         1
#> 5     16.43      1  51        0         1
#> 32    20.90      1  37        1         0
#> 91     5.33      1  61        0         1
#> 41    18.02      1  40        1         0
#> 57    14.46      1  45        0         1
#> 130   16.47      1  53        0         1
#> 69.1  23.23      1  25        0         1
#> 77     7.27      1  67        0         1
#> 177   12.53      1  75        0         0
#> 93    10.33      1  52        0         1
#> 91.1   5.33      1  61        0         1
#> 91.2   5.33      1  61        0         1
#> 52    10.42      1  52        0         1
#> 187    9.92      1  39        1         0
#> 114   13.68      1  NA        0         0
#> 113   22.86      1  34        0         0
#> 171   16.57      1  41        0         1
#> 16     8.71      1  71        0         1
#> 157.1 15.10      1  47        0         0
#> 15    22.68      1  48        0         0
#> 61    10.12      1  36        0         1
#> 61.1  10.12      1  36        0         1
#> 63    22.77      1  31        1         0
#> 70.1   7.38      1  30        1         0
#> 43    12.10      1  61        0         1
#> 150   20.33      1  48        0         0
#> 133   14.65      1  57        0         0
#> 68    20.62      1  44        0         0
#> 154   12.63      1  20        1         0
#> 153   21.33      1  55        1         0
#> 92.1  22.92      1  47        0         1
#> 49    12.19      1  48        1         0
#> 107   11.18      1  54        1         0
#> 134   17.81      1  47        1         0
#> 36    21.19      1  48        0         1
#> 192   16.44      1  31        1         0
#> 107.1 11.18      1  54        1         0
#> 41.1  18.02      1  40        1         0
#> 43.1  12.10      1  61        0         1
#> 41.2  18.02      1  40        1         0
#> 76    19.22      1  54        0         1
#> 187.1  9.92      1  39        1         0
#> 130.1 16.47      1  53        0         1
#> 26    15.77      1  49        0         1
#> 6     15.64      1  39        0         0
#> 129   23.41      1  53        1         0
#> 199   19.81      1  NA        0         1
#> 76.1  19.22      1  54        0         1
#> 36.1  21.19      1  48        0         1
#> 16.1   8.71      1  71        0         1
#> 30    17.43      1  78        0         0
#> 91.3   5.33      1  61        0         1
#> 92.2  22.92      1  47        0         1
#> 88    18.37      1  47        0         0
#> 145   10.07      1  65        1         0
#> 192.1 16.44      1  31        1         0
#> 49.1  12.19      1  48        1         0
#> 125   15.65      1  67        1         0
#> 23.1  16.92      1  61        0         0
#> 145.1 10.07      1  65        1         0
#> 128   20.35      1  35        0         1
#> 37    12.52      1  57        1         0
#> 55    19.34      1  69        0         1
#> 125.1 15.65      1  67        1         0
#> 79    16.23      1  54        1         0
#> 159.1 10.55      1  50        0         1
#> 63.1  22.77      1  31        1         0
#> 14.1  12.89      1  21        0         0
#> 175   21.91      1  43        0         0
#> 134.1 17.81      1  47        1         0
#> 188   16.16      1  46        0         1
#> 66    22.13      1  53        0         0
#> 66.1  22.13      1  53        0         0
#> 60    13.15      1  38        1         0
#> 188.1 16.16      1  46        0         1
#> 195   11.76      1  NA        1         0
#> 59    10.16      1  NA        1         0
#> 139   21.49      1  63        1         0
#> 58    19.34      1  39        0         0
#> 124.1  9.73      1  NA        1         0
#> 39    15.59      1  37        0         1
#> 49.2  12.19      1  48        1         0
#> 93.1  10.33      1  52        0         1
#> 86    23.81      1  58        0         1
#> 123   13.00      1  44        1         0
#> 117   17.46      1  26        0         1
#> 60.1  13.15      1  38        1         0
#> 129.1 23.41      1  53        1         0
#> 58.1  19.34      1  39        0         0
#> 50    10.02      1  NA        1         0
#> 76.2  19.22      1  54        0         1
#> 183    9.24      1  67        1         0
#> 23.2  16.92      1  61        0         0
#> 184   17.77      1  38        0         0
#> 130.2 16.47      1  53        0         1
#> 29    15.45      1  68        1         0
#> 60.2  13.15      1  38        1         0
#> 83    24.00      0   6        0         0
#> 198   24.00      0  66        0         1
#> 33    24.00      0  53        0         0
#> 31    24.00      0  36        0         1
#> 102   24.00      0  49        0         0
#> 162   24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 109   24.00      0  48        0         0
#> 73    24.00      0  NA        0         1
#> 28    24.00      0  67        1         0
#> 143   24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 118   24.00      0  44        1         0
#> 19    24.00      0  57        0         1
#> 141   24.00      0  44        1         0
#> 33.1  24.00      0  53        0         0
#> 104   24.00      0  50        1         0
#> 11    24.00      0  42        0         1
#> 54    24.00      0  53        1         0
#> 98    24.00      0  34        1         0
#> 20    24.00      0  46        1         0
#> 53    24.00      0  32        0         1
#> 87    24.00      0  27        0         0
#> 165   24.00      0  47        0         0
#> 160   24.00      0  31        1         0
#> 165.1 24.00      0  47        0         0
#> 65    24.00      0  57        1         0
#> 156   24.00      0  50        1         0
#> 193   24.00      0  45        0         1
#> 21    24.00      0  47        0         0
#> 46    24.00      0  71        0         0
#> 161   24.00      0  45        0         0
#> 3     24.00      0  31        1         0
#> 121   24.00      0  57        1         0
#> 109.1 24.00      0  48        0         0
#> 116   24.00      0  58        0         1
#> 200   24.00      0  64        0         0
#> 152   24.00      0  36        0         1
#> 28.1  24.00      0  67        1         0
#> 62    24.00      0  71        0         0
#> 120   24.00      0  68        0         1
#> 7     24.00      0  37        1         0
#> 122   24.00      0  66        0         0
#> 22.1  24.00      0  52        1         0
#> 141.1 24.00      0  44        1         0
#> 178   24.00      0  52        1         0
#> 71    24.00      0  51        0         0
#> 143.1 24.00      0  51        0         0
#> 173   24.00      0  19        0         1
#> 160.1 24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 3.1   24.00      0  31        1         0
#> 122.1 24.00      0  66        0         0
#> 46.1  24.00      0  71        0         0
#> 118.1 24.00      0  44        1         0
#> 9     24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 143.2 24.00      0  51        0         0
#> 103   24.00      0  56        1         0
#> 22.2  24.00      0  52        1         0
#> 141.2 24.00      0  44        1         0
#> 38    24.00      0  31        1         0
#> 131   24.00      0  66        0         0
#> 160.2 24.00      0  31        1         0
#> 44.1  24.00      0  56        0         0
#> 28.2  24.00      0  67        1         0
#> 185   24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 64    24.00      0  43        0         0
#> 191   24.00      0  60        0         1
#> 121.1 24.00      0  57        1         0
#> 84.1  24.00      0  39        0         1
#> 7.1   24.00      0  37        1         0
#> 95    24.00      0  68        0         1
#> 132   24.00      0  55        0         0
#> 94    24.00      0  51        0         1
#> 109.2 24.00      0  48        0         0
#> 152.1 24.00      0  36        0         1
#> 176   24.00      0  43        0         1
#> 122.2 24.00      0  66        0         0
#> 131.1 24.00      0  66        0         0
#> 119   24.00      0  17        0         0
#> 143.3 24.00      0  51        0         0
#> 102.1 24.00      0  49        0         0
#> 119.1 24.00      0  17        0         0
#> 131.2 24.00      0  66        0         0
#> 152.2 24.00      0  36        0         1
#> 75    24.00      0  21        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.796          NA        NA      NA
#> 2 age, Cure model          0.00781        NA        NA      NA
#> 3 grade_ii, Cure model     0.571          NA        NA      NA
#> 4 grade_iii, Cure model    1.26           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0113        NA        NA      NA
#> 2 grade_ii, Survival model    0.253         NA        NA      NA
#> 3 grade_iii, Survival model   0.180         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.79551           0.00781           0.57087           1.25931  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 251.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.795512938      0.007810368      0.570866178      1.259308823 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01133765       0.25282213       0.18011908 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.24022804 0.52191509 0.19740635 0.51239061 0.89763445 0.40420158
#>   [7] 0.78518562 0.63762991 0.96757204 0.66008326 0.35011908 0.83189671
#>  [13] 0.46138759 0.72202539 0.47194361 0.98176271 0.59087068 0.80305585
#>  [19] 0.68837020 0.19740635 0.97704861 0.84896444 0.91318016 0.98176271
#>  [25] 0.98176271 0.90801121 0.94334772 0.28874776 0.68129289 0.95801975
#>  [31] 0.78518562 0.33532398 0.92335568 0.92335568 0.30545532 0.96757204
#>  [37] 0.87643689 0.50250226 0.79711116 0.48227803 0.84327811 0.42854290
#>  [43] 0.24022804 0.86018227 0.88712272 0.61453098 0.43997941 0.70865179
#>  [49] 0.88712272 0.59087068 0.87643689 0.59087068 0.55761192 0.94334772
#>  [55] 0.68837020 0.74807895 0.76682388 0.14839342 0.55761192 0.43997941
#>  [61] 0.95801975 0.65269713 0.98176271 0.24022804 0.58252870 0.93344218
#>  [67] 0.70865179 0.86018227 0.75446699 0.66008326 0.93344218 0.49247117
#>  [73] 0.85460018 0.53127317 0.75446699 0.72867326 0.89763445 0.30545532
#>  [79] 0.83189671 0.39100276 0.61453098 0.73523876 0.36449835 0.36449835
#>  [85] 0.80895710 0.73523876 0.41666183 0.53127317 0.77299963 0.86018227
#>  [91] 0.91318016 0.09627067 0.82616527 0.64519025 0.80895710 0.14839342
#>  [97] 0.53127317 0.55761192 0.95314996 0.66008326 0.62993249 0.68837020
#> [103] 0.77913512 0.80895710 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    92   105    69   158   159   197   157   110    70    23   169    14    90 
#> 22.92 19.75 23.23 20.14 10.55 21.60 15.10 17.56  7.38 16.92 22.41 12.89 20.94 
#>     5    32    91    41    57   130  69.1    77   177    93  91.1  91.2    52 
#> 16.43 20.90  5.33 18.02 14.46 16.47 23.23  7.27 12.53 10.33  5.33  5.33 10.42 
#>   187   113   171    16 157.1    15    61  61.1    63  70.1    43   150   133 
#>  9.92 22.86 16.57  8.71 15.10 22.68 10.12 10.12 22.77  7.38 12.10 20.33 14.65 
#>    68   154   153  92.1    49   107   134    36   192 107.1  41.1  43.1  41.2 
#> 20.62 12.63 21.33 22.92 12.19 11.18 17.81 21.19 16.44 11.18 18.02 12.10 18.02 
#>    76 187.1 130.1    26     6   129  76.1  36.1  16.1    30  91.3  92.2    88 
#> 19.22  9.92 16.47 15.77 15.64 23.41 19.22 21.19  8.71 17.43  5.33 22.92 18.37 
#>   145 192.1  49.1   125  23.1 145.1   128    37    55 125.1    79 159.1  63.1 
#> 10.07 16.44 12.19 15.65 16.92 10.07 20.35 12.52 19.34 15.65 16.23 10.55 22.77 
#>  14.1   175 134.1   188    66  66.1    60 188.1   139    58    39  49.2  93.1 
#> 12.89 21.91 17.81 16.16 22.13 22.13 13.15 16.16 21.49 19.34 15.59 12.19 10.33 
#>    86   123   117  60.1 129.1  58.1  76.2   183  23.2   184 130.2    29  60.2 
#> 23.81 13.00 17.46 13.15 23.41 19.34 19.22  9.24 16.92 17.77 16.47 15.45 13.15 
#>    83   198    33    31   102   162    84   109    28   143    22   118    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141  33.1   104    11    54    98    20    53    87   165   160 165.1    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156   193    21    46   161     3   121 109.1   116   200   152  28.1    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120     7   122  22.1 141.1   178    71 143.1   173 160.1    34   3.1 122.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  46.1 118.1     9    44 143.2   103  22.2 141.2    38   131 160.2  44.1  28.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185   146    64   191 121.1  84.1   7.1    95   132    94 109.2 152.1   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 122.2 131.1   119 143.3 102.1 119.1 131.2 152.2    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[41]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01145483                1.13316705                0.37822319 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              0.75553938             -0.01508319             -0.07613539 
#>   grade_iii, Cure model 
#>              0.80208847 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 23    16.92      1  61        0         0
#> 100   16.07      1  60        0         0
#> 10    10.53      1  34        0         0
#> 76    19.22      1  54        0         1
#> 187    9.92      1  39        1         0
#> 89    11.44      1  NA        0         0
#> 25     6.32      1  34        1         0
#> 188   16.16      1  46        0         1
#> 45    17.42      1  54        0         1
#> 128   20.35      1  35        0         1
#> 79    16.23      1  54        1         0
#> 113   22.86      1  34        0         0
#> 167   15.55      1  56        1         0
#> 139   21.49      1  63        1         0
#> 88    18.37      1  47        0         0
#> 175   21.91      1  43        0         0
#> 150   20.33      1  48        0         0
#> 155   13.08      1  26        0         0
#> 45.1  17.42      1  54        0         1
#> 13    14.34      1  54        0         1
#> 145   10.07      1  65        1         0
#> 117   17.46      1  26        0         1
#> 10.1  10.53      1  34        0         0
#> 145.1 10.07      1  65        1         0
#> 81    14.06      1  34        0         0
#> 155.1 13.08      1  26        0         0
#> 154   12.63      1  20        1         0
#> 158   20.14      1  74        1         0
#> 149    8.37      1  33        1         0
#> 23.1  16.92      1  61        0         0
#> 60    13.15      1  38        1         0
#> 55    19.34      1  69        0         1
#> 29    15.45      1  68        1         0
#> 16     8.71      1  71        0         1
#> 6     15.64      1  39        0         0
#> 66    22.13      1  53        0         0
#> 190   20.81      1  42        1         0
#> 88.1  18.37      1  47        0         0
#> 90    20.94      1  50        0         1
#> 199   19.81      1  NA        0         1
#> 42    12.43      1  49        0         1
#> 70     7.38      1  30        1         0
#> 23.2  16.92      1  61        0         0
#> 99    21.19      1  38        0         1
#> 179   18.63      1  42        0         0
#> 179.1 18.63      1  42        0         0
#> 25.1   6.32      1  34        1         0
#> 23.3  16.92      1  61        0         0
#> 124    9.73      1  NA        1         0
#> 24    23.89      1  38        0         0
#> 140   12.68      1  59        1         0
#> 150.1 20.33      1  48        0         0
#> 164   23.60      1  76        0         1
#> 128.1 20.35      1  35        0         1
#> 96    14.54      1  33        0         1
#> 158.1 20.14      1  74        1         0
#> 149.1  8.37      1  33        1         0
#> 113.1 22.86      1  34        0         0
#> 111   17.45      1  47        0         1
#> 99.1  21.19      1  38        0         1
#> 81.1  14.06      1  34        0         0
#> 24.1  23.89      1  38        0         0
#> 175.1 21.91      1  43        0         0
#> 169   22.41      1  46        0         0
#> 175.2 21.91      1  43        0         0
#> 117.1 17.46      1  26        0         1
#> 60.1  13.15      1  38        1         0
#> 128.2 20.35      1  35        0         1
#> 166   19.98      1  48        0         0
#> 187.1  9.92      1  39        1         0
#> 42.1  12.43      1  49        0         1
#> 114   13.68      1  NA        0         0
#> 189   10.51      1  NA        1         0
#> 26    15.77      1  49        0         1
#> 32    20.90      1  37        1         0
#> 86    23.81      1  58        0         1
#> 154.1 12.63      1  20        1         0
#> 136   21.83      1  43        0         1
#> 4     17.64      1  NA        0         1
#> 6.1   15.64      1  39        0         0
#> 85    16.44      1  36        0         0
#> 14    12.89      1  21        0         0
#> 81.2  14.06      1  34        0         0
#> 25.2   6.32      1  34        1         0
#> 123   13.00      1  44        1         0
#> 113.2 22.86      1  34        0         0
#> 88.2  18.37      1  47        0         0
#> 100.1 16.07      1  60        0         0
#> 157   15.10      1  47        0         0
#> 188.1 16.16      1  46        0         1
#> 184   17.77      1  38        0         0
#> 29.1  15.45      1  68        1         0
#> 128.3 20.35      1  35        0         1
#> 107   11.18      1  54        1         0
#> 154.2 12.63      1  20        1         0
#> 41    18.02      1  40        1         0
#> 187.2  9.92      1  39        1         0
#> 81.3  14.06      1  34        0         0
#> 125   15.65      1  67        1         0
#> 110   17.56      1  65        0         1
#> 113.3 22.86      1  34        0         0
#> 107.1 11.18      1  54        1         0
#> 76.1  19.22      1  54        0         1
#> 113.4 22.86      1  34        0         0
#> 91     5.33      1  61        0         1
#> 158.2 20.14      1  74        1         0
#> 52    10.42      1  52        0         1
#> 159   10.55      1  50        0         1
#> 108   18.29      1  39        0         1
#> 42.2  12.43      1  49        0         1
#> 32.1  20.90      1  37        1         0
#> 10.2  10.53      1  34        0         0
#> 54    24.00      0  53        1         0
#> 73    24.00      0  NA        0         1
#> 2     24.00      0   9        0         0
#> 156   24.00      0  50        1         0
#> 141   24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 132   24.00      0  55        0         0
#> 138   24.00      0  44        1         0
#> 28    24.00      0  67        1         0
#> 193   24.00      0  45        0         1
#> 112   24.00      0  61        0         0
#> 132.1 24.00      0  55        0         0
#> 122   24.00      0  66        0         0
#> 47    24.00      0  38        0         1
#> 46    24.00      0  71        0         0
#> 191   24.00      0  60        0         1
#> 11    24.00      0  42        0         1
#> 126   24.00      0  48        0         0
#> 83    24.00      0   6        0         0
#> 46.1  24.00      0  71        0         0
#> 161   24.00      0  45        0         0
#> 176   24.00      0  43        0         1
#> 116   24.00      0  58        0         1
#> 151   24.00      0  42        0         0
#> 143   24.00      0  51        0         0
#> 35    24.00      0  51        0         0
#> 172   24.00      0  41        0         0
#> 72    24.00      0  40        0         1
#> 174   24.00      0  49        1         0
#> 3     24.00      0  31        1         0
#> 122.1 24.00      0  66        0         0
#> 22    24.00      0  52        1         0
#> 143.1 24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 198   24.00      0  66        0         1
#> 104   24.00      0  50        1         0
#> 185   24.00      0  44        1         0
#> 34    24.00      0  36        0         0
#> 54.1  24.00      0  53        1         0
#> 65    24.00      0  57        1         0
#> 2.1   24.00      0   9        0         0
#> 12    24.00      0  63        0         0
#> 191.1 24.00      0  60        0         1
#> 9     24.00      0  31        1         0
#> 72.1  24.00      0  40        0         1
#> 156.1 24.00      0  50        1         0
#> 33    24.00      0  53        0         0
#> 20    24.00      0  46        1         0
#> 163   24.00      0  66        0         0
#> 118   24.00      0  44        1         0
#> 156.2 24.00      0  50        1         0
#> 178   24.00      0  52        1         0
#> 142   24.00      0  53        0         0
#> 132.2 24.00      0  55        0         0
#> 144   24.00      0  28        0         1
#> 28.1  24.00      0  67        1         0
#> 132.3 24.00      0  55        0         0
#> 48    24.00      0  31        1         0
#> 20.1  24.00      0  46        1         0
#> 112.1 24.00      0  61        0         0
#> 121   24.00      0  57        1         0
#> 178.1 24.00      0  52        1         0
#> 172.1 24.00      0  41        0         0
#> 137   24.00      0  45        1         0
#> 75    24.00      0  21        1         0
#> 200   24.00      0  64        0         0
#> 38    24.00      0  31        1         0
#> 156.3 24.00      0  50        1         0
#> 186   24.00      0  45        1         0
#> 74    24.00      0  43        0         1
#> 46.2  24.00      0  71        0         0
#> 132.4 24.00      0  55        0         0
#> 73.1  24.00      0  NA        0         1
#> 1     24.00      0  23        1         0
#> 80    24.00      0  41        0         0
#> 103   24.00      0  56        1         0
#> 27    24.00      0  63        1         0
#> 135   24.00      0  58        1         0
#> 35.1  24.00      0  51        0         0
#> 27.1  24.00      0  63        1         0
#> 34.1  24.00      0  36        0         0
#> 196   24.00      0  19        0         0
#> 67    24.00      0  25        0         0
#> 44    24.00      0  56        0         0
#> 12.1  24.00      0  63        0         0
#> 87    24.00      0  27        0         0
#> 48.1  24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model   0.756         NA        NA      NA
#> 2 age, Cure model          -0.0151        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0761        NA        NA      NA
#> 4 grade_iii, Cure model     0.802         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0115        NA        NA      NA
#> 2 grade_ii, Survival model    1.13          NA        NA      NA
#> 3 grade_iii, Survival model   0.378         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          0.75554          -0.01508          -0.07614           0.80209  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 256.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.75553938      -0.01508319      -0.07613539       0.80208847 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01145483       1.13316705       0.37822319 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.438324641 0.519446450 0.843824127 0.284566101 0.901220995 0.965261324
#>   [7] 0.499015807 0.418757936 0.187846669 0.488752454 0.024927784 0.582327089
#>  [13] 0.117588611 0.321733651 0.076198293 0.221883017 0.706600181 0.418757936
#>  [19] 0.634090507 0.882163714 0.389656591 0.843824127 0.882163714 0.644526581
#>  [25] 0.706600181 0.758011596 0.240229661 0.938114369 0.438324641 0.686116553
#>  [31] 0.275359210 0.592812072 0.928797006 0.561307754 0.066290249 0.178734281
#>  [37] 0.321733651 0.149181022 0.786568433 0.956252208 0.438324641 0.128356317
#>  [43] 0.302932104 0.302932104 0.965261324 0.438324641 0.002237195 0.747797852
#>  [49] 0.221883017 0.017108028 0.187846669 0.623691003 0.240229661 0.938114369
#>  [55] 0.024927784 0.408956639 0.128356317 0.644526581 0.002237195 0.076198293
#>  [61] 0.057014443 0.076198293 0.389656591 0.686116553 0.187846669 0.266255158
#>  [67] 0.901220995 0.786568433 0.540284538 0.160124953 0.010492112 0.758011596
#>  [73] 0.106295588 0.561307754 0.478341994 0.737502575 0.644526581 0.965261324
#>  [79] 0.727237936 0.024927784 0.321733651 0.519446450 0.613291465 0.499015807
#>  [85] 0.370106402 0.592812072 0.187846669 0.815299863 0.758011596 0.360459467
#>  [91] 0.901220995 0.644526581 0.550840422 0.379842912 0.024927784 0.815299863
#>  [97] 0.284566101 0.024927784 0.991241867 0.240229661 0.872483196 0.834266813
#> [103] 0.350557093 0.786568433 0.160124953 0.843824127 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    23   100    10    76   187    25   188    45   128    79   113   167   139 
#> 16.92 16.07 10.53 19.22  9.92  6.32 16.16 17.42 20.35 16.23 22.86 15.55 21.49 
#>    88   175   150   155  45.1    13   145   117  10.1 145.1    81 155.1   154 
#> 18.37 21.91 20.33 13.08 17.42 14.34 10.07 17.46 10.53 10.07 14.06 13.08 12.63 
#>   158   149  23.1    60    55    29    16     6    66   190  88.1    90    42 
#> 20.14  8.37 16.92 13.15 19.34 15.45  8.71 15.64 22.13 20.81 18.37 20.94 12.43 
#>    70  23.2    99   179 179.1  25.1  23.3    24   140 150.1   164 128.1    96 
#>  7.38 16.92 21.19 18.63 18.63  6.32 16.92 23.89 12.68 20.33 23.60 20.35 14.54 
#> 158.1 149.1 113.1   111  99.1  81.1  24.1 175.1   169 175.2 117.1  60.1 128.2 
#> 20.14  8.37 22.86 17.45 21.19 14.06 23.89 21.91 22.41 21.91 17.46 13.15 20.35 
#>   166 187.1  42.1    26    32    86 154.1   136   6.1    85    14  81.2  25.2 
#> 19.98  9.92 12.43 15.77 20.90 23.81 12.63 21.83 15.64 16.44 12.89 14.06  6.32 
#>   123 113.2  88.2 100.1   157 188.1   184  29.1 128.3   107 154.2    41 187.2 
#> 13.00 22.86 18.37 16.07 15.10 16.16 17.77 15.45 20.35 11.18 12.63 18.02  9.92 
#>  81.3   125   110 113.3 107.1  76.1 113.4    91 158.2    52   159   108  42.2 
#> 14.06 15.65 17.56 22.86 11.18 19.22 22.86  5.33 20.14 10.42 10.55 18.29 12.43 
#>  32.1  10.2    54     2   156   141    84   132   138    28   193   112 132.1 
#> 20.90 10.53 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122    47    46   191    11   126    83  46.1   161   176   116   151   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35   172    72   174     3 122.1    22 143.1    21   198   104   185    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  54.1    65   2.1    12 191.1     9  72.1 156.1    33    20   163   118 156.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178   142 132.2   144  28.1 132.3    48  20.1 112.1   121 178.1 172.1   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75   200    38 156.3   186    74  46.2 132.4     1    80   103    27   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  35.1  27.1  34.1   196    67    44  12.1    87  48.1    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[42]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.005538459               0.435887551               0.368230095 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.103551999            -0.002786442             0.233882736 
#>   grade_iii, Cure model 
#>             0.550154250 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 124    9.73      1  NA        1         0
#> 89    11.44      1  NA        0         0
#> 76    19.22      1  54        0         1
#> 108   18.29      1  39        0         1
#> 181   16.46      1  45        0         1
#> 18    15.21      1  49        1         0
#> 58    19.34      1  39        0         0
#> 113   22.86      1  34        0         0
#> 5     16.43      1  51        0         1
#> 37    12.52      1  57        1         0
#> 108.1 18.29      1  39        0         1
#> 190   20.81      1  42        1         0
#> 199   19.81      1  NA        0         1
#> 37.1  12.52      1  57        1         0
#> 199.1 19.81      1  NA        0         1
#> 114   13.68      1  NA        0         0
#> 8     18.43      1  32        0         0
#> 145   10.07      1  65        1         0
#> 52    10.42      1  52        0         1
#> 68    20.62      1  44        0         0
#> 136   21.83      1  43        0         1
#> 177   12.53      1  75        0         0
#> 166   19.98      1  48        0         0
#> 111   17.45      1  47        0         1
#> 30    17.43      1  78        0         0
#> 140   12.68      1  59        1         0
#> 45    17.42      1  54        0         1
#> 8.1   18.43      1  32        0         0
#> 91     5.33      1  61        0         1
#> 184   17.77      1  38        0         0
#> 18.1  15.21      1  49        1         0
#> 154   12.63      1  20        1         0
#> 42    12.43      1  49        0         1
#> 187    9.92      1  39        1         0
#> 136.1 21.83      1  43        0         1
#> 88    18.37      1  47        0         0
#> 177.1 12.53      1  75        0         0
#> 99    21.19      1  38        0         1
#> 61    10.12      1  36        0         1
#> 66    22.13      1  53        0         0
#> 10    10.53      1  34        0         0
#> 129   23.41      1  53        1         0
#> 6     15.64      1  39        0         0
#> 32    20.90      1  37        1         0
#> 77     7.27      1  67        0         1
#> 155   13.08      1  26        0         0
#> 171   16.57      1  41        0         1
#> 195   11.76      1  NA        1         0
#> 158   20.14      1  74        1         0
#> 63    22.77      1  31        1         0
#> 170   19.54      1  43        0         1
#> 167   15.55      1  56        1         0
#> 63.1  22.77      1  31        1         0
#> 92    22.92      1  47        0         1
#> 15    22.68      1  48        0         0
#> 8.2   18.43      1  32        0         0
#> 88.1  18.37      1  47        0         0
#> 49    12.19      1  48        1         0
#> 26    15.77      1  49        0         1
#> 127    3.53      1  62        0         1
#> 61.1  10.12      1  36        0         1
#> 18.2  15.21      1  49        1         0
#> 58.1  19.34      1  39        0         0
#> 128   20.35      1  35        0         1
#> 45.1  17.42      1  54        0         1
#> 8.3   18.43      1  32        0         0
#> 97    19.14      1  65        0         1
#> 113.1 22.86      1  34        0         0
#> 188   16.16      1  46        0         1
#> 180   14.82      1  37        0         0
#> 170.1 19.54      1  43        0         1
#> 86    23.81      1  58        0         1
#> 134   17.81      1  47        1         0
#> 57    14.46      1  45        0         1
#> 81    14.06      1  34        0         0
#> 136.2 21.83      1  43        0         1
#> 140.1 12.68      1  59        1         0
#> 177.2 12.53      1  75        0         0
#> 188.1 16.16      1  46        0         1
#> 25     6.32      1  34        1         0
#> 107   11.18      1  54        1         0
#> 106   16.67      1  49        1         0
#> 6.1   15.64      1  39        0         0
#> 10.1  10.53      1  34        0         0
#> 5.1   16.43      1  51        0         1
#> 78    23.88      1  43        0         0
#> 134.1 17.81      1  47        1         0
#> 128.1 20.35      1  35        0         1
#> 81.1  14.06      1  34        0         0
#> 68.1  20.62      1  44        0         0
#> 168   23.72      1  70        0         0
#> 179   18.63      1  42        0         0
#> 187.1  9.92      1  39        1         0
#> 43    12.10      1  61        0         1
#> 129.1 23.41      1  53        1         0
#> 101    9.97      1  10        0         1
#> 154.1 12.63      1  20        1         0
#> 169   22.41      1  46        0         0
#> 10.2  10.53      1  34        0         0
#> 45.2  17.42      1  54        0         1
#> 188.2 16.16      1  46        0         1
#> 39    15.59      1  37        0         1
#> 8.4   18.43      1  32        0         0
#> 117   17.46      1  26        0         1
#> 66.1  22.13      1  53        0         0
#> 177.3 12.53      1  75        0         0
#> 24    23.89      1  38        0         0
#> 124.1  9.73      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 150   20.33      1  48        0         0
#> 37.2  12.52      1  57        1         0
#> 117.1 17.46      1  26        0         1
#> 151   24.00      0  42        0         0
#> 48    24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 2     24.00      0   9        0         0
#> 172   24.00      0  41        0         0
#> 44    24.00      0  56        0         0
#> 147   24.00      0  76        1         0
#> 163   24.00      0  66        0         0
#> 48.1  24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 173   24.00      0  19        0         1
#> 185   24.00      0  44        1         0
#> 74    24.00      0  43        0         1
#> 200   24.00      0  64        0         0
#> 44.1  24.00      0  56        0         0
#> 148   24.00      0  61        1         0
#> 151.1 24.00      0  42        0         0
#> 95    24.00      0  68        0         1
#> 115   24.00      0  NA        1         0
#> 144   24.00      0  28        0         1
#> 163.1 24.00      0  66        0         0
#> 135   24.00      0  58        1         0
#> 84    24.00      0  39        0         1
#> 147.1 24.00      0  76        1         0
#> 131   24.00      0  66        0         0
#> 71    24.00      0  51        0         0
#> 198   24.00      0  66        0         1
#> 137   24.00      0  45        1         0
#> 112   24.00      0  61        0         0
#> 80    24.00      0  41        0         0
#> 102   24.00      0  49        0         0
#> 191   24.00      0  60        0         1
#> 31    24.00      0  36        0         1
#> 122   24.00      0  66        0         0
#> 46    24.00      0  71        0         0
#> 2.1   24.00      0   9        0         0
#> 131.1 24.00      0  66        0         0
#> 173.1 24.00      0  19        0         1
#> 163.2 24.00      0  66        0         0
#> 200.1 24.00      0  64        0         0
#> 182   24.00      0  35        0         0
#> 84.1  24.00      0  39        0         1
#> 3     24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 3.1   24.00      0  31        1         0
#> 163.3 24.00      0  66        0         0
#> 47    24.00      0  38        0         1
#> 115.1 24.00      0  NA        1         0
#> 1.1   24.00      0  23        1         0
#> 178   24.00      0  52        1         0
#> 135.1 24.00      0  58        1         0
#> 191.1 24.00      0  60        0         1
#> 142   24.00      0  53        0         0
#> 152   24.00      0  36        0         1
#> 132   24.00      0  55        0         0
#> 65    24.00      0  57        1         0
#> 87    24.00      0  27        0         0
#> 182.1 24.00      0  35        0         0
#> 71.1  24.00      0  51        0         0
#> 35    24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 11.1  24.00      0  42        0         1
#> 95.1  24.00      0  68        0         1
#> 121   24.00      0  57        1         0
#> 142.1 24.00      0  53        0         0
#> 11.2  24.00      0  42        0         1
#> 62    24.00      0  71        0         0
#> 2.2   24.00      0   9        0         0
#> 178.1 24.00      0  52        1         0
#> 48.2  24.00      0  31        1         0
#> 38    24.00      0  31        1         0
#> 182.2 24.00      0  35        0         0
#> 147.2 24.00      0  76        1         0
#> 67    24.00      0  25        0         0
#> 152.1 24.00      0  36        0         1
#> 120   24.00      0  68        0         1
#> 71.2  24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 116   24.00      0  58        0         1
#> 17    24.00      0  38        0         1
#> 102.1 24.00      0  49        0         0
#> 119   24.00      0  17        0         0
#> 47.1  24.00      0  38        0         1
#> 161   24.00      0  45        0         0
#> 28    24.00      0  67        1         0
#> 73    24.00      0  NA        0         1
#> 44.2  24.00      0  56        0         0
#> 137.1 24.00      0  45        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.104          NA        NA      NA
#> 2 age, Cure model         -0.00279        NA        NA      NA
#> 3 grade_ii, Cure model     0.234          NA        NA      NA
#> 4 grade_iii, Cure model    0.550          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00554        NA        NA      NA
#> 2 grade_ii, Survival model   0.436          NA        NA      NA
#> 3 grade_iii, Survival model  0.368          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.103552         -0.002786          0.233883          0.550154  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.3 
#> Residual Deviance: 258.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.103551999     -0.002786442      0.233882736      0.550154250 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.005538459      0.435887551      0.368230095 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.48846166 0.57565052 0.68726131 0.77234957 0.46990496 0.20207590
#>   [7] 0.69472211 0.87607242 0.57565052 0.36908533 0.87607242 0.51566459
#>  [13] 0.95417074 0.93650203 0.37994326 0.31221647 0.85108567 0.44136003
#>  [19] 0.63335497 0.64136877 0.82538017 0.64932884 0.51566459 0.98871861
#>  [25] 0.60900183 0.77234957 0.83830459 0.89443839 0.96582989 0.31221647
#>  [31] 0.55833523 0.85108567 0.34642228 0.94244161 0.28659313 0.91869196
#>  [37] 0.15256189 0.74457169 0.35791483 0.97730851 0.81877366 0.67973068
#>  [43] 0.43148321 0.23217011 0.45117001 0.76546577 0.23217011 0.18590849
#>  [49] 0.25932955 0.51566459 0.55833523 0.90056495 0.73753638 0.99437590
#>  [55] 0.94244161 0.77234957 0.46990496 0.40102153 0.64932884 0.51566459
#>  [61] 0.49766239 0.20207590 0.70927848 0.79227448 0.45117001 0.10329802
#>  [67] 0.59256217 0.79895973 0.80559754 0.31221647 0.82538017 0.85108567
#>  [73] 0.70927848 0.98302791 0.91269224 0.67213156 0.74457169 0.91869196
#>  [79] 0.69472211 0.06927762 0.59256217 0.40102153 0.80559754 0.37994326
#>  [85] 0.12903045 0.50668443 0.96582989 0.90664940 0.15256189 0.96000965
#>  [91] 0.83830459 0.27305998 0.91869196 0.64932884 0.70927848 0.75851264
#>  [97] 0.51566459 0.61725163 0.28659313 0.85108567 0.03081223 0.73044043
#> [103] 0.42129635 0.87607242 0.61725163 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    76   108   181    18    58   113     5    37 108.1   190  37.1     8   145 
#> 19.22 18.29 16.46 15.21 19.34 22.86 16.43 12.52 18.29 20.81 12.52 18.43 10.07 
#>    52    68   136   177   166   111    30   140    45   8.1    91   184  18.1 
#> 10.42 20.62 21.83 12.53 19.98 17.45 17.43 12.68 17.42 18.43  5.33 17.77 15.21 
#>   154    42   187 136.1    88 177.1    99    61    66    10   129     6    32 
#> 12.63 12.43  9.92 21.83 18.37 12.53 21.19 10.12 22.13 10.53 23.41 15.64 20.90 
#>    77   155   171   158    63   170   167  63.1    92    15   8.2  88.1    49 
#>  7.27 13.08 16.57 20.14 22.77 19.54 15.55 22.77 22.92 22.68 18.43 18.37 12.19 
#>    26   127  61.1  18.2  58.1   128  45.1   8.3    97 113.1   188   180 170.1 
#> 15.77  3.53 10.12 15.21 19.34 20.35 17.42 18.43 19.14 22.86 16.16 14.82 19.54 
#>    86   134    57    81 136.2 140.1 177.2 188.1    25   107   106   6.1  10.1 
#> 23.81 17.81 14.46 14.06 21.83 12.68 12.53 16.16  6.32 11.18 16.67 15.64 10.53 
#>   5.1    78 134.1 128.1  81.1  68.1   168   179 187.1    43 129.1   101 154.1 
#> 16.43 23.88 17.81 20.35 14.06 20.62 23.72 18.63  9.92 12.10 23.41  9.97 12.63 
#>   169  10.2  45.2 188.2    39   8.4   117  66.1 177.3    24   100   150  37.2 
#> 22.41 10.53 17.42 16.16 15.59 18.43 17.46 22.13 12.53 23.89 16.07 20.33 12.52 
#> 117.1   151    48     1     2   172    44   147   163  48.1    53   173   185 
#> 17.46 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    74   200  44.1   148 151.1    95   144 163.1   135    84 147.1   131    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198   137   112    80   102   191    31   122    46   2.1 131.1 173.1 163.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 200.1   182  84.1     3    11   3.1 163.3    47   1.1   178 135.1 191.1   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152   132    65    87 182.1  71.1    35    83  11.1  95.1   121 142.1  11.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62   2.2 178.1  48.2    38 182.2 147.2    67 152.1   120  71.2   126   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17 102.1   119  47.1   161    28  44.2 137.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[43]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.004766251               0.610080863               0.389606885 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.140381275            -0.001755715             0.427018336 
#>   grade_iii, Cure model 
#>             0.820095936 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 96    14.54      1  33        0         1
#> 189   10.51      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 37    12.52      1  57        1         0
#> 189.1 10.51      1  NA        1         0
#> 134   17.81      1  47        1         0
#> 18    15.21      1  49        1         0
#> 58    19.34      1  39        0         0
#> 130   16.47      1  53        0         1
#> 79    16.23      1  54        1         0
#> 99    21.19      1  38        0         1
#> 51    18.23      1  83        0         1
#> 69    23.23      1  25        0         1
#> 150   20.33      1  48        0         0
#> 180   14.82      1  37        0         0
#> 149    8.37      1  33        1         0
#> 59    10.16      1  NA        1         0
#> 14    12.89      1  21        0         0
#> 140   12.68      1  59        1         0
#> 15    22.68      1  48        0         0
#> 188   16.16      1  46        0         1
#> 5     16.43      1  51        0         1
#> 180.1 14.82      1  37        0         0
#> 192   16.44      1  31        1         0
#> 29    15.45      1  68        1         0
#> 124    9.73      1  NA        1         0
#> 190   20.81      1  42        1         0
#> 36    21.19      1  48        0         1
#> 123   13.00      1  44        1         0
#> 70     7.38      1  30        1         0
#> 139   21.49      1  63        1         0
#> 30    17.43      1  78        0         0
#> 153   21.33      1  55        1         0
#> 97    19.14      1  65        0         1
#> 56    12.21      1  60        0         0
#> 110   17.56      1  65        0         1
#> 117   17.46      1  26        0         1
#> 192.1 16.44      1  31        1         0
#> 4     17.64      1  NA        0         1
#> 171   16.57      1  41        0         1
#> 190.1 20.81      1  42        1         0
#> 24    23.89      1  38        0         0
#> 190.2 20.81      1  42        1         0
#> 110.1 17.56      1  65        0         1
#> 145   10.07      1  65        1         0
#> 124.1  9.73      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 6     15.64      1  39        0         0
#> 153.1 21.33      1  55        1         0
#> 68    20.62      1  44        0         0
#> 55    19.34      1  69        0         1
#> 199   19.81      1  NA        0         1
#> 89    11.44      1  NA        0         0
#> 127    3.53      1  62        0         1
#> 43    12.10      1  61        0         1
#> 26    15.77      1  49        0         1
#> 57    14.46      1  45        0         1
#> 171.1 16.57      1  41        0         1
#> 127.1  3.53      1  62        0         1
#> 5.1   16.43      1  51        0         1
#> 175   21.91      1  43        0         0
#> 170   19.54      1  43        0         1
#> 30.1  17.43      1  78        0         0
#> 60    13.15      1  38        1         0
#> 167   15.55      1  56        1         0
#> 101    9.97      1  10        0         1
#> 130.1 16.47      1  53        0         1
#> 192.2 16.44      1  31        1         0
#> 93    10.33      1  52        0         1
#> 78    23.88      1  43        0         0
#> 184   17.77      1  38        0         0
#> 36.1  21.19      1  48        0         1
#> 90    20.94      1  50        0         1
#> 179   18.63      1  42        0         0
#> 154   12.63      1  20        1         0
#> 192.3 16.44      1  31        1         0
#> 130.2 16.47      1  53        0         1
#> 88    18.37      1  47        0         0
#> 92    22.92      1  47        0         1
#> 188.1 16.16      1  46        0         1
#> 10    10.53      1  34        0         0
#> 175.1 21.91      1  43        0         0
#> 133   14.65      1  57        0         0
#> 37.1  12.52      1  57        1         0
#> 190.3 20.81      1  42        1         0
#> 170.1 19.54      1  43        0         1
#> 150.1 20.33      1  48        0         0
#> 96.1  14.54      1  33        0         1
#> 4.1   17.64      1  NA        0         1
#> 166   19.98      1  48        0         0
#> 56.1  12.21      1  60        0         0
#> 51.1  18.23      1  83        0         1
#> 179.1 18.63      1  42        0         0
#> 23    16.92      1  61        0         0
#> 60.1  13.15      1  38        1         0
#> 8     18.43      1  32        0         0
#> 49    12.19      1  48        1         0
#> 39    15.59      1  37        0         1
#> 69.1  23.23      1  25        0         1
#> 140.1 12.68      1  59        1         0
#> 197   21.60      1  69        1         0
#> 41    18.02      1  40        1         0
#> 45    17.42      1  54        0         1
#> 4.2   17.64      1  NA        0         1
#> 199.1 19.81      1  NA        0         1
#> 183    9.24      1  67        1         0
#> 15.1  22.68      1  48        0         0
#> 8.1   18.43      1  32        0         0
#> 101.1  9.97      1  10        0         1
#> 107   11.18      1  54        1         0
#> 134.1 17.81      1  47        1         0
#> 76    19.22      1  54        0         1
#> 121   24.00      0  57        1         0
#> 21    24.00      0  47        0         0
#> 148   24.00      0  61        1         0
#> 135   24.00      0  58        1         0
#> 144   24.00      0  28        0         1
#> 75    24.00      0  21        1         0
#> 121.1 24.00      0  57        1         0
#> 172   24.00      0  41        0         0
#> 74    24.00      0  43        0         1
#> 28    24.00      0  67        1         0
#> 148.1 24.00      0  61        1         0
#> 143   24.00      0  51        0         0
#> 176   24.00      0  43        0         1
#> 102   24.00      0  49        0         0
#> 176.1 24.00      0  43        0         1
#> 65    24.00      0  57        1         0
#> 11    24.00      0  42        0         1
#> 116   24.00      0  58        0         1
#> 21.1  24.00      0  47        0         0
#> 64    24.00      0  43        0         0
#> 191   24.00      0  60        0         1
#> 65.1  24.00      0  57        1         0
#> 67    24.00      0  25        0         0
#> 162   24.00      0  51        0         0
#> 186   24.00      0  45        1         0
#> 152   24.00      0  36        0         1
#> 12    24.00      0  63        0         0
#> 160   24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 137   24.00      0  45        1         0
#> 193   24.00      0  45        0         1
#> 147   24.00      0  76        1         0
#> 44    24.00      0  56        0         0
#> 200   24.00      0  64        0         0
#> 95    24.00      0  68        0         1
#> 62    24.00      0  71        0         0
#> 152.1 24.00      0  36        0         1
#> 83    24.00      0   6        0         0
#> 20    24.00      0  46        1         0
#> 146   24.00      0  63        1         0
#> 115   24.00      0  NA        1         0
#> 53    24.00      0  32        0         1
#> 151   24.00      0  42        0         0
#> 143.1 24.00      0  51        0         0
#> 191.1 24.00      0  60        0         1
#> 141   24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 104   24.00      0  50        1         0
#> 34    24.00      0  36        0         0
#> 44.1  24.00      0  56        0         0
#> 54    24.00      0  53        1         0
#> 115.1 24.00      0  NA        1         0
#> 141.1 24.00      0  44        1         0
#> 176.2 24.00      0  43        0         1
#> 12.1  24.00      0  63        0         0
#> 200.1 24.00      0  64        0         0
#> 172.1 24.00      0  41        0         0
#> 7     24.00      0  37        1         0
#> 73    24.00      0  NA        0         1
#> 165   24.00      0  47        0         0
#> 193.1 24.00      0  45        0         1
#> 196   24.00      0  19        0         0
#> 102.1 24.00      0  49        0         0
#> 173   24.00      0  19        0         1
#> 46    24.00      0  71        0         0
#> 83.1  24.00      0   6        0         0
#> 82    24.00      0  34        0         0
#> 165.1 24.00      0  47        0         0
#> 17    24.00      0  38        0         1
#> 142   24.00      0  53        0         0
#> 132   24.00      0  55        0         0
#> 73.1  24.00      0  NA        0         1
#> 98    24.00      0  34        1         0
#> 47    24.00      0  38        0         1
#> 98.1  24.00      0  34        1         0
#> 104.1 24.00      0  50        1         0
#> 151.1 24.00      0  42        0         0
#> 12.2  24.00      0  63        0         0
#> 163.1 24.00      0  66        0         0
#> 103   24.00      0  56        1         0
#> 148.2 24.00      0  61        1         0
#> 135.1 24.00      0  58        1         0
#> 152.2 24.00      0  36        0         1
#> 11.1  24.00      0  42        0         1
#> 156   24.00      0  50        1         0
#> 17.1  24.00      0  38        0         1
#> 109   24.00      0  48        0         0
#> 191.2 24.00      0  60        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.140          NA        NA      NA
#> 2 age, Cure model         -0.00176        NA        NA      NA
#> 3 grade_ii, Cure model     0.427          NA        NA      NA
#> 4 grade_iii, Cure model    0.820          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00477        NA        NA      NA
#> 2 grade_ii, Survival model   0.610          NA        NA      NA
#> 3 grade_iii, Survival model  0.390          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.140381         -0.001756          0.427018          0.820096  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    254.9 
#> Residual Deviance: 249.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.140381275     -0.001755715      0.427018336      0.820095936 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.004766251      0.610080863      0.389606885 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.83091190 0.98386420 0.89878320 0.59038369 0.80508785 0.47958535
#>   [7] 0.68670230 0.75109070 0.32743763 0.56402667 0.11477359 0.42870942
#>  [13] 0.81157576 0.97291723 0.87471914 0.88084588 0.18534581 0.75802532
#>  [19] 0.73710803 0.81157576 0.70894088 0.79852993 0.37710579 0.32743763
#>  [25] 0.86858789 0.97840792 0.28293358 0.63970470 0.29946405 0.50849641
#>  [31] 0.91045541 0.61543556 0.63162657 0.70894088 0.67134504 0.37710579
#>  [37] 0.03299731 0.37710579 0.61543556 0.95066007 0.84996173 0.77840097
#>  [43] 0.29946405 0.41811881 0.47958535 0.98929116 0.92786015 0.77162353
#>  [49] 0.84362222 0.67134504 0.98929116 0.73710803 0.22587336 0.45975988
#>  [55] 0.63970470 0.85625851 0.79188773 0.95627166 0.68670230 0.70894088
#>  [61] 0.94499805 0.07600228 0.60706155 0.32743763 0.36464094 0.51790375
#>  [67] 0.89281804 0.70894088 0.68670230 0.55479197 0.16249339 0.75802532
#>  [73] 0.93930561 0.22587336 0.82446014 0.89878320 0.37710579 0.45975988
#>  [79] 0.42870942 0.83091190 0.44937010 0.91045541 0.56402667 0.51790375
#>  [85] 0.66347810 0.85625851 0.53640007 0.92207830 0.78516639 0.11477359
#>  [91] 0.88084588 0.26483331 0.58166177 0.65557956 0.96739055 0.18534581
#>  [97] 0.53640007 0.95627166 0.93360710 0.59038369 0.49890949 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    96    91    37   134    18    58   130    79    99    51    69   150   180 
#> 14.54  5.33 12.52 17.81 15.21 19.34 16.47 16.23 21.19 18.23 23.23 20.33 14.82 
#>   149    14   140    15   188     5 180.1   192    29   190    36   123    70 
#>  8.37 12.89 12.68 22.68 16.16 16.43 14.82 16.44 15.45 20.81 21.19 13.00  7.38 
#>   139    30   153    97    56   110   117 192.1   171 190.1    24 190.2 110.1 
#> 21.49 17.43 21.33 19.14 12.21 17.56 17.46 16.44 16.57 20.81 23.89 20.81 17.56 
#>   145    13     6 153.1    68    55   127    43    26    57 171.1 127.1   5.1 
#> 10.07 14.34 15.64 21.33 20.62 19.34  3.53 12.10 15.77 14.46 16.57  3.53 16.43 
#>   175   170  30.1    60   167   101 130.1 192.2    93    78   184  36.1    90 
#> 21.91 19.54 17.43 13.15 15.55  9.97 16.47 16.44 10.33 23.88 17.77 21.19 20.94 
#>   179   154 192.3 130.2    88    92 188.1    10 175.1   133  37.1 190.3 170.1 
#> 18.63 12.63 16.44 16.47 18.37 22.92 16.16 10.53 21.91 14.65 12.52 20.81 19.54 
#> 150.1  96.1   166  56.1  51.1 179.1    23  60.1     8    49    39  69.1 140.1 
#> 20.33 14.54 19.98 12.21 18.23 18.63 16.92 13.15 18.43 12.19 15.59 23.23 12.68 
#>   197    41    45   183  15.1   8.1 101.1   107 134.1    76   121    21   148 
#> 21.60 18.02 17.42  9.24 22.68 18.43  9.97 11.18 17.81 19.22 24.00 24.00 24.00 
#>   135   144    75 121.1   172    74    28 148.1   143   176   102 176.1    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11   116  21.1    64   191  65.1    67   162   186   152    12   160    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137   193   147    44   200    95    62 152.1    83    20   146    53   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 143.1 191.1   141   163   104    34  44.1    54 141.1 176.2  12.1 200.1 172.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7   165 193.1   196 102.1   173    46  83.1    82 165.1    17   142   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98    47  98.1 104.1 151.1  12.2 163.1   103 148.2 135.1 152.2  11.1   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.1   109 191.2 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[44]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -1.851762e-05              8.159582e-01              5.744262e-01 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.668170698             0.004838492             0.646657593 
#>   grade_iii, Cure model 
#>             1.224310784 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 194   22.40      1  38        0         1
#> 158   20.14      1  74        1         0
#> 63    22.77      1  31        1         0
#> 125   15.65      1  67        1         0
#> 189   10.51      1  NA        1         0
#> 179   18.63      1  42        0         0
#> 154   12.63      1  20        1         0
#> 42    12.43      1  49        0         1
#> 13    14.34      1  54        0         1
#> 89    11.44      1  NA        0         0
#> 68    20.62      1  44        0         0
#> 99    21.19      1  38        0         1
#> 168   23.72      1  70        0         0
#> 159   10.55      1  50        0         1
#> 136   21.83      1  43        0         1
#> 5     16.43      1  51        0         1
#> 78    23.88      1  43        0         0
#> 40    18.00      1  28        1         0
#> 117   17.46      1  26        0         1
#> 194.1 22.40      1  38        0         1
#> 110   17.56      1  65        0         1
#> 124    9.73      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 51    18.23      1  83        0         1
#> 101    9.97      1  10        0         1
#> 125.1 15.65      1  67        1         0
#> 167.1 15.55      1  56        1         0
#> 90    20.94      1  50        0         1
#> 43    12.10      1  61        0         1
#> 180   14.82      1  37        0         0
#> 123   13.00      1  44        1         0
#> 167.2 15.55      1  56        1         0
#> 15    22.68      1  48        0         0
#> 59    10.16      1  NA        1         0
#> 195   11.76      1  NA        1         0
#> 107   11.18      1  54        1         0
#> 136.1 21.83      1  43        0         1
#> 24    23.89      1  38        0         0
#> 79    16.23      1  54        1         0
#> 4     17.64      1  NA        0         1
#> 169   22.41      1  46        0         0
#> 189.1 10.51      1  NA        1         0
#> 13.1  14.34      1  54        0         1
#> 4.1   17.64      1  NA        0         1
#> 36    21.19      1  48        0         1
#> 128   20.35      1  35        0         1
#> 128.1 20.35      1  35        0         1
#> 100   16.07      1  60        0         0
#> 117.1 17.46      1  26        0         1
#> 56    12.21      1  60        0         0
#> 134   17.81      1  47        1         0
#> 159.1 10.55      1  50        0         1
#> 171   16.57      1  41        0         1
#> 180.1 14.82      1  37        0         0
#> 13.2  14.34      1  54        0         1
#> 128.2 20.35      1  35        0         1
#> 51.1  18.23      1  83        0         1
#> 170   19.54      1  43        0         1
#> 81    14.06      1  34        0         0
#> 8     18.43      1  32        0         0
#> 69    23.23      1  25        0         1
#> 90.1  20.94      1  50        0         1
#> 107.1 11.18      1  54        1         0
#> 89.1  11.44      1  NA        0         0
#> 107.2 11.18      1  54        1         0
#> 149    8.37      1  33        1         0
#> 55    19.34      1  69        0         1
#> 63.1  22.77      1  31        1         0
#> 86    23.81      1  58        0         1
#> 8.1   18.43      1  32        0         0
#> 129   23.41      1  53        1         0
#> 159.2 10.55      1  50        0         1
#> 149.1  8.37      1  33        1         0
#> 110.1 17.56      1  65        0         1
#> 149.2  8.37      1  33        1         0
#> 187    9.92      1  39        1         0
#> 39    15.59      1  37        0         1
#> 79.1  16.23      1  54        1         0
#> 70     7.38      1  30        1         0
#> 15.1  22.68      1  48        0         0
#> 90.2  20.94      1  50        0         1
#> 37    12.52      1  57        1         0
#> 68.1  20.62      1  44        0         0
#> 134.1 17.81      1  47        1         0
#> 13.3  14.34      1  54        0         1
#> 111   17.45      1  47        0         1
#> 192   16.44      1  31        1         0
#> 55.1  19.34      1  69        0         1
#> 77     7.27      1  67        0         1
#> 159.3 10.55      1  50        0         1
#> 56.1  12.21      1  60        0         0
#> 58    19.34      1  39        0         0
#> 43.1  12.10      1  61        0         1
#> 101.1  9.97      1  10        0         1
#> 70.1   7.38      1  30        1         0
#> 14    12.89      1  21        0         0
#> 57    14.46      1  45        0         1
#> 130   16.47      1  53        0         1
#> 13.4  14.34      1  54        0         1
#> 189.2 10.51      1  NA        1         0
#> 86.1  23.81      1  58        0         1
#> 197   21.60      1  69        1         0
#> 63.2  22.77      1  31        1         0
#> 169.1 22.41      1  46        0         0
#> 175   21.91      1  43        0         0
#> 166   19.98      1  48        0         0
#> 192.1 16.44      1  31        1         0
#> 181   16.46      1  45        0         1
#> 140   12.68      1  59        1         0
#> 24.1  23.89      1  38        0         0
#> 197.1 21.60      1  69        1         0
#> 88    18.37      1  47        0         0
#> 17    24.00      0  38        0         1
#> 98    24.00      0  34        1         0
#> 87    24.00      0  27        0         0
#> 118   24.00      0  44        1         0
#> 35    24.00      0  51        0         0
#> 172   24.00      0  41        0         0
#> 3     24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 148   24.00      0  61        1         0
#> 131   24.00      0  66        0         0
#> 31    24.00      0  36        0         1
#> 102   24.00      0  49        0         0
#> 27    24.00      0  63        1         0
#> 12    24.00      0  63        0         0
#> 141   24.00      0  44        1         0
#> 109   24.00      0  48        0         0
#> 47    24.00      0  38        0         1
#> 82    24.00      0  34        0         0
#> 148.1 24.00      0  61        1         0
#> 138   24.00      0  44        1         0
#> 165   24.00      0  47        0         0
#> 94    24.00      0  51        0         1
#> 119   24.00      0  17        0         0
#> 122   24.00      0  66        0         0
#> 147   24.00      0  76        1         0
#> 80    24.00      0  41        0         0
#> 1     24.00      0  23        1         0
#> 21    24.00      0  47        0         0
#> 115   24.00      0  NA        1         0
#> 53    24.00      0  32        0         1
#> 82.1  24.00      0  34        0         0
#> 74    24.00      0  43        0         1
#> 135   24.00      0  58        1         0
#> 196.1 24.00      0  19        0         0
#> 87.1  24.00      0  27        0         0
#> 156   24.00      0  50        1         0
#> 196.2 24.00      0  19        0         0
#> 200   24.00      0  64        0         0
#> 47.1  24.00      0  38        0         1
#> 160   24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 147.1 24.00      0  76        1         0
#> 22    24.00      0  52        1         0
#> 74.1  24.00      0  43        0         1
#> 62    24.00      0  71        0         0
#> 33    24.00      0  53        0         0
#> 72    24.00      0  40        0         1
#> 138.1 24.00      0  44        1         0
#> 118.1 24.00      0  44        1         0
#> 198   24.00      0  66        0         1
#> 80.1  24.00      0  41        0         0
#> 65    24.00      0  57        1         0
#> 67    24.00      0  25        0         0
#> 191   24.00      0  60        0         1
#> 186   24.00      0  45        1         0
#> 31.1  24.00      0  36        0         1
#> 2     24.00      0   9        0         0
#> 146   24.00      0  63        1         0
#> 1.1   24.00      0  23        1         0
#> 119.1 24.00      0  17        0         0
#> 178   24.00      0  52        1         0
#> 138.2 24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 71    24.00      0  51        0         0
#> 98.1  24.00      0  34        1         0
#> 126   24.00      0  48        0         0
#> 71.1  24.00      0  51        0         0
#> 143   24.00      0  51        0         0
#> 74.2  24.00      0  43        0         1
#> 53.1  24.00      0  32        0         1
#> 73    24.00      0  NA        0         1
#> 115.1 24.00      0  NA        1         0
#> 53.2  24.00      0  32        0         1
#> 31.2  24.00      0  36        0         1
#> 151   24.00      0  42        0         0
#> 132   24.00      0  55        0         0
#> 132.1 24.00      0  55        0         0
#> 143.1 24.00      0  51        0         0
#> 74.3  24.00      0  43        0         1
#> 83    24.00      0   6        0         0
#> 35.1  24.00      0  51        0         0
#> 132.2 24.00      0  55        0         0
#> 28    24.00      0  67        1         0
#> 94.1  24.00      0  51        0         1
#> 198.1 24.00      0  66        0         1
#> 182   24.00      0  35        0         0
#> 120   24.00      0  68        0         1
#> 12.1  24.00      0  63        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.668          NA        NA      NA
#> 2 age, Cure model          0.00484        NA        NA      NA
#> 3 grade_ii, Cure model     0.647          NA        NA      NA
#> 4 grade_iii, Cure model    1.22           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                        estimate std.error statistic p.value
#>   <chr>                          <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.0000185        NA        NA      NA
#> 2 grade_ii, Survival model   0.816            NA        NA      NA
#> 3 grade_iii, Survival model  0.574            NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.668171          0.004838          0.646658          1.224311  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.7 
#> Residual Deviance: 245.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.668170698      0.004838492      0.646657593      1.224310784 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -1.851762e-05     8.159582e-01     5.744262e-01 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.31580573 0.50017801 0.22229806 0.74249346 0.55514831 0.86292848
#>   [7] 0.87564743 0.80452358 0.45155855 0.40035849 0.16127642 0.92498396
#>  [13] 0.35407129 0.71313574 0.08511651 0.60882966 0.65053472 0.31580573
#>  [19] 0.63419400 0.76377104 0.59125757 0.94854560 0.74249346 0.76377104
#>  [25] 0.42169430 0.89448753 0.78411060 0.84345826 0.76377104 0.26175859
#>  [31] 0.90689795 0.35407129 0.03129058 0.72063759 0.28878016 0.80452358
#>  [37] 0.40035849 0.47169510 0.47169510 0.73518389 0.65053472 0.88194237
#>  [43] 0.61752083 0.92498396 0.67455157 0.78411060 0.80452358 0.47169510
#>  [49] 0.59125757 0.51907882 0.83688371 0.56421242 0.20390583 0.42169430
#>  [55] 0.90689795 0.90689795 0.96613011 0.52839788 0.22229806 0.11881876
#>  [61] 0.56421242 0.18413321 0.92498396 0.96613011 0.63419400 0.96613011
#>  [67] 0.96028667 0.75669058 0.72063759 0.98316751 0.26175859 0.42169430
#>  [73] 0.86931724 0.45155855 0.61752083 0.80452358 0.66656334 0.69808903
#>  [79] 0.52839788 0.99439492 0.92498396 0.88194237 0.52839788 0.89448753
#>  [85] 0.94854560 0.98316751 0.84996889 0.79772979 0.68246719 0.80452358
#>  [91] 0.11881876 0.37810444 0.22229806 0.28878016 0.34115275 0.50962834
#>  [97] 0.69808903 0.69031234 0.85647955 0.03129058 0.37810444 0.58219542
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>   194   158    63   125   179   154    42    13    68    99   168   159   136 
#> 22.40 20.14 22.77 15.65 18.63 12.63 12.43 14.34 20.62 21.19 23.72 10.55 21.83 
#>     5    78    40   117 194.1   110   167    51   101 125.1 167.1    90    43 
#> 16.43 23.88 18.00 17.46 22.40 17.56 15.55 18.23  9.97 15.65 15.55 20.94 12.10 
#>   180   123 167.2    15   107 136.1    24    79   169  13.1    36   128 128.1 
#> 14.82 13.00 15.55 22.68 11.18 21.83 23.89 16.23 22.41 14.34 21.19 20.35 20.35 
#>   100 117.1    56   134 159.1   171 180.1  13.2 128.2  51.1   170    81     8 
#> 16.07 17.46 12.21 17.81 10.55 16.57 14.82 14.34 20.35 18.23 19.54 14.06 18.43 
#>    69  90.1 107.1 107.2   149    55  63.1    86   8.1   129 159.2 149.1 110.1 
#> 23.23 20.94 11.18 11.18  8.37 19.34 22.77 23.81 18.43 23.41 10.55  8.37 17.56 
#> 149.2   187    39  79.1    70  15.1  90.2    37  68.1 134.1  13.3   111   192 
#>  8.37  9.92 15.59 16.23  7.38 22.68 20.94 12.52 20.62 17.81 14.34 17.45 16.44 
#>  55.1    77 159.3  56.1    58  43.1 101.1  70.1    14    57   130  13.4  86.1 
#> 19.34  7.27 10.55 12.21 19.34 12.10  9.97  7.38 12.89 14.46 16.47 14.34 23.81 
#>   197  63.2 169.1   175   166 192.1   181   140  24.1 197.1    88    17    98 
#> 21.60 22.77 22.41 21.91 19.98 16.44 16.46 12.68 23.89 21.60 18.37 24.00 24.00 
#>    87   118    35   172     3   196   148   131    31   102    27    12   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109    47    82 148.1   138   165    94   119   122   147    80     1    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53  82.1    74   135 196.1  87.1   156 196.2   200  47.1   160    19 147.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22  74.1    62    33    72 138.1 118.1   198  80.1    65    67   191   186 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  31.1     2   146   1.1 119.1   178 138.2     7    71  98.1   126  71.1   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  74.2  53.1  53.2  31.2   151   132 132.1 143.1  74.3    83  35.1 132.2    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.1 198.1   182   120  12.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[45]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.009930836               0.706950771               0.893549782 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.73985326              0.02590672             -0.83394217 
#>   grade_iii, Cure model 
#>             -0.30470206 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 52    10.42      1  52        0         1
#> 195   11.76      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 88    18.37      1  47        0         0
#> 99    21.19      1  38        0         1
#> 40    18.00      1  28        1         0
#> 117   17.46      1  26        0         1
#> 25     6.32      1  34        1         0
#> 197   21.60      1  69        1         0
#> 30    17.43      1  78        0         0
#> 8     18.43      1  32        0         0
#> 50    10.02      1  NA        1         0
#> 157   15.10      1  47        0         0
#> 113   22.86      1  34        0         0
#> 114   13.68      1  NA        0         0
#> 199   19.81      1  NA        0         1
#> 8.1   18.43      1  32        0         0
#> 57    14.46      1  45        0         1
#> 14    12.89      1  21        0         0
#> 97    19.14      1  65        0         1
#> 184   17.77      1  38        0         0
#> 18    15.21      1  49        1         0
#> 197.1 21.60      1  69        1         0
#> 50.1  10.02      1  NA        1         0
#> 166   19.98      1  48        0         0
#> 70     7.38      1  30        1         0
#> 169   22.41      1  46        0         0
#> 129   23.41      1  53        1         0
#> 59    10.16      1  NA        1         0
#> 42    12.43      1  49        0         1
#> 184.1 17.77      1  38        0         0
#> 77     7.27      1  67        0         1
#> 43    12.10      1  61        0         1
#> 166.1 19.98      1  48        0         0
#> 13    14.34      1  54        0         1
#> 14.1  12.89      1  21        0         0
#> 90    20.94      1  50        0         1
#> 37    12.52      1  57        1         0
#> 58    19.34      1  39        0         0
#> 30.1  17.43      1  78        0         0
#> 79    16.23      1  54        1         0
#> 51    18.23      1  83        0         1
#> 114.1 13.68      1  NA        0         0
#> 139   21.49      1  63        1         0
#> 15    22.68      1  48        0         0
#> 66    22.13      1  53        0         0
#> 124    9.73      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 89    11.44      1  NA        0         0
#> 43.1  12.10      1  61        0         1
#> 24    23.89      1  38        0         0
#> 40.1  18.00      1  28        1         0
#> 41    18.02      1  40        1         0
#> 40.2  18.00      1  28        1         0
#> 5     16.43      1  51        0         1
#> 39    15.59      1  37        0         1
#> 45    17.42      1  54        0         1
#> 4     17.64      1  NA        0         1
#> 100   16.07      1  60        0         0
#> 8.2   18.43      1  32        0         0
#> 189   10.51      1  NA        1         0
#> 179   18.63      1  42        0         0
#> 88.1  18.37      1  47        0         0
#> 164   23.60      1  76        0         1
#> 13.1  14.34      1  54        0         1
#> 24.1  23.89      1  38        0         0
#> 150   20.33      1  48        0         0
#> 127.1  3.53      1  62        0         1
#> 6     15.64      1  39        0         0
#> 149    8.37      1  33        1         0
#> 49    12.19      1  48        1         0
#> 155   13.08      1  26        0         0
#> 76.1  19.22      1  54        0         1
#> 89.1  11.44      1  NA        0         0
#> 15.1  22.68      1  48        0         0
#> 81    14.06      1  34        0         0
#> 117.1 17.46      1  26        0         1
#> 24.2  23.89      1  38        0         0
#> 49.1  12.19      1  48        1         0
#> 16     8.71      1  71        0         1
#> 157.1 15.10      1  47        0         0
#> 108   18.29      1  39        0         1
#> 170   19.54      1  43        0         1
#> 93    10.33      1  52        0         1
#> 16.1   8.71      1  71        0         1
#> 91     5.33      1  61        0         1
#> 166.2 19.98      1  48        0         0
#> 30.2  17.43      1  78        0         0
#> 45.1  17.42      1  54        0         1
#> 155.1 13.08      1  26        0         0
#> 179.1 18.63      1  42        0         0
#> 51.1  18.23      1  83        0         1
#> 179.2 18.63      1  42        0         0
#> 30.3  17.43      1  78        0         0
#> 166.3 19.98      1  48        0         0
#> 18.1  15.21      1  49        1         0
#> 6.1   15.64      1  39        0         0
#> 105   19.75      1  60        0         0
#> 93.1  10.33      1  52        0         1
#> 134   17.81      1  47        1         0
#> 113.1 22.86      1  34        0         0
#> 158   20.14      1  74        1         0
#> 179.3 18.63      1  42        0         0
#> 97.1  19.14      1  65        0         1
#> 76.2  19.22      1  54        0         1
#> 43.2  12.10      1  61        0         1
#> 107   11.18      1  54        1         0
#> 168   23.72      1  70        0         0
#> 188   16.16      1  46        0         1
#> 140   12.68      1  59        1         0
#> 97.2  19.14      1  65        0         1
#> 51.2  18.23      1  83        0         1
#> 11    24.00      0  42        0         1
#> 185   24.00      0  44        1         0
#> 178   24.00      0  52        1         0
#> 112   24.00      0  61        0         0
#> 74    24.00      0  43        0         1
#> 120   24.00      0  68        0         1
#> 2     24.00      0   9        0         0
#> 143   24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 27    24.00      0  63        1         0
#> 87    24.00      0  27        0         0
#> 38    24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 176   24.00      0  43        0         1
#> 83    24.00      0   6        0         0
#> 1     24.00      0  23        1         0
#> 2.1   24.00      0   9        0         0
#> 102   24.00      0  49        0         0
#> 94    24.00      0  51        0         1
#> 198   24.00      0  66        0         1
#> 72    24.00      0  40        0         1
#> 1.1   24.00      0  23        1         0
#> 44.1  24.00      0  56        0         0
#> 196   24.00      0  19        0         0
#> 196.1 24.00      0  19        0         0
#> 34    24.00      0  36        0         0
#> 94.1  24.00      0  51        0         1
#> 160   24.00      0  31        1         0
#> 176.1 24.00      0  43        0         1
#> 191   24.00      0  60        0         1
#> 3     24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 3.1   24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 12    24.00      0  63        0         0
#> 115   24.00      0  NA        1         0
#> 80    24.00      0  41        0         0
#> 31.1  24.00      0  36        0         1
#> 71    24.00      0  51        0         0
#> 160.1 24.00      0  31        1         0
#> 31.2  24.00      0  36        0         1
#> 84    24.00      0  39        0         1
#> 53    24.00      0  32        0         1
#> 98    24.00      0  34        1         0
#> 65    24.00      0  57        1         0
#> 1.2   24.00      0  23        1         0
#> 178.1 24.00      0  52        1         0
#> 22    24.00      0  52        1         0
#> 131   24.00      0  66        0         0
#> 2.2   24.00      0   9        0         0
#> 11.1  24.00      0  42        0         1
#> 94.2  24.00      0  51        0         1
#> 12.1  24.00      0  63        0         0
#> 120.1 24.00      0  68        0         1
#> 147   24.00      0  76        1         0
#> 148   24.00      0  61        1         0
#> 126   24.00      0  48        0         0
#> 28    24.00      0  67        1         0
#> 146   24.00      0  63        1         0
#> 98.1  24.00      0  34        1         0
#> 83.1  24.00      0   6        0         0
#> 47    24.00      0  38        0         1
#> 138   24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 185.1 24.00      0  44        1         0
#> 22.1  24.00      0  52        1         0
#> 27.1  24.00      0  63        1         0
#> 47.1  24.00      0  38        0         1
#> 44.2  24.00      0  56        0         0
#> 82    24.00      0  34        0         0
#> 122   24.00      0  66        0         0
#> 65.1  24.00      0  57        1         0
#> 176.2 24.00      0  43        0         1
#> 102.1 24.00      0  49        0         0
#> 118.1 24.00      0  44        1         0
#> 109   24.00      0  48        0         0
#> 173.1 24.00      0  19        0         1
#> 67    24.00      0  25        0         0
#> 173.2 24.00      0  19        0         1
#> 71.1  24.00      0  51        0         0
#> 132   24.00      0  55        0         0
#> 122.1 24.00      0  66        0         0
#> 1.3   24.00      0  23        1         0
#> 193   24.00      0  45        0         1
#> 95    24.00      0  68        0         1
#> 191.1 24.00      0  60        0         1
#> 95.1  24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.740         NA        NA      NA
#> 2 age, Cure model           0.0259        NA        NA      NA
#> 3 grade_ii, Cure model     -0.834         NA        NA      NA
#> 4 grade_iii, Cure model    -0.305         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00993        NA        NA      NA
#> 2 grade_ii, Survival model   0.707          NA        NA      NA
#> 3 grade_iii, Survival model  0.894          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.73985           0.02591          -0.83394          -0.30470  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258.3 
#> Residual Deviance: 246.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.73985326       0.02590672      -0.83394217      -0.30470206 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.009930836      0.706950771      0.893549782 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.885424186 0.981297869 0.386537224 0.137030452 0.461978994 0.523351832
#>   [7] 0.962359048 0.104776260 0.543303249 0.354733592 0.695770835 0.046345775
#>  [13] 0.354733592 0.716020778 0.776081113 0.284194011 0.502701796 0.675738366
#>  [19] 0.104776260 0.178328776 0.943281097 0.082785346 0.037794611 0.816462484
#>  [25] 0.502701796 0.952832311 0.846343981 0.178328776 0.726137242 0.776081113
#>  [31] 0.147486133 0.806357543 0.242259050 0.543303249 0.614714981 0.419432834
#>  [37] 0.126007243 0.063567318 0.093515982 0.253531133 0.846343981 0.004538362
#>  [43] 0.461978994 0.451218661 0.461978994 0.604492372 0.665571950 0.584058095
#>  [49] 0.635006919 0.354733592 0.313956766 0.386537224 0.028854105 0.726137242
#>  [55] 0.004538362 0.157593045 0.981297869 0.645180432 0.933680761 0.826505007
#>  [61] 0.756026865 0.253531133 0.063567318 0.745993336 0.523351832 0.004538362
#>  [67] 0.826505007 0.914488268 0.695770835 0.408497425 0.231152966 0.895211892
#>  [73] 0.914488268 0.971843841 0.178328776 0.543303249 0.584058095 0.756026865
#>  [79] 0.313956766 0.419432834 0.313956766 0.543303249 0.178328776 0.675738366
#>  [85] 0.645180432 0.219720536 0.895211892 0.492402942 0.046345775 0.167951997
#>  [91] 0.313956766 0.284194011 0.253531133 0.846343981 0.875586663 0.019511669
#>  [97] 0.624906053 0.796233407 0.284194011 0.419432834 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>    52   127    88    99    40   117    25   197    30     8   157   113   8.1 
#> 10.42  3.53 18.37 21.19 18.00 17.46  6.32 21.60 17.43 18.43 15.10 22.86 18.43 
#>    57    14    97   184    18 197.1   166    70   169   129    42 184.1    77 
#> 14.46 12.89 19.14 17.77 15.21 21.60 19.98  7.38 22.41 23.41 12.43 17.77  7.27 
#>    43 166.1    13  14.1    90    37    58  30.1    79    51   139    15    66 
#> 12.10 19.98 14.34 12.89 20.94 12.52 19.34 17.43 16.23 18.23 21.49 22.68 22.13 
#>    76  43.1    24  40.1    41  40.2     5    39    45   100   8.2   179  88.1 
#> 19.22 12.10 23.89 18.00 18.02 18.00 16.43 15.59 17.42 16.07 18.43 18.63 18.37 
#>   164  13.1  24.1   150 127.1     6   149    49   155  76.1  15.1    81 117.1 
#> 23.60 14.34 23.89 20.33  3.53 15.64  8.37 12.19 13.08 19.22 22.68 14.06 17.46 
#>  24.2  49.1    16 157.1   108   170    93  16.1    91 166.2  30.2  45.1 155.1 
#> 23.89 12.19  8.71 15.10 18.29 19.54 10.33  8.71  5.33 19.98 17.43 17.42 13.08 
#> 179.1  51.1 179.2  30.3 166.3  18.1   6.1   105  93.1   134 113.1   158 179.3 
#> 18.63 18.23 18.63 17.43 19.98 15.21 15.64 19.75 10.33 17.81 22.86 20.14 18.63 
#>  97.1  76.2  43.2   107   168   188   140  97.2  51.2    11   185   178   112 
#> 19.14 19.22 12.10 11.18 23.72 16.16 12.68 19.14 18.23 24.00 24.00 24.00 24.00 
#>    74   120     2   143    44    27    87    38   135   176    83     1   2.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102    94   198    72   1.1  44.1   196 196.1    34  94.1   160 176.1   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3   118    31   3.1   104    12    80  31.1    71 160.1  31.2    84    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98    65   1.2 178.1    22   131   2.2  11.1  94.2  12.1 120.1   147   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126    28   146  98.1  83.1    47   138   173 185.1  22.1  27.1  47.1  44.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    82   122  65.1 176.2 102.1 118.1   109 173.1    67 173.2  71.1   132 122.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   1.3   193    95 191.1  95.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[46]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01297936                0.51170329                0.09745754 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.82327084              0.01972796             -0.17432335 
#>   grade_iii, Cure model 
#>              0.50093867 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 92    22.92      1  47        0         1
#> 13    14.34      1  54        0         1
#> 32    20.90      1  37        1         0
#> 170   19.54      1  43        0         1
#> 105   19.75      1  60        0         0
#> 61    10.12      1  36        0         1
#> 157   15.10      1  47        0         0
#> 169   22.41      1  46        0         0
#> 150   20.33      1  48        0         0
#> 4     17.64      1  NA        0         1
#> 168   23.72      1  70        0         0
#> 42    12.43      1  49        0         1
#> 16     8.71      1  71        0         1
#> 57    14.46      1  45        0         1
#> 110   17.56      1  65        0         1
#> 125   15.65      1  67        1         0
#> 23    16.92      1  61        0         0
#> 153   21.33      1  55        1         0
#> 157.1 15.10      1  47        0         0
#> 10    10.53      1  34        0         0
#> 154   12.63      1  20        1         0
#> 164   23.60      1  76        0         1
#> 169.1 22.41      1  46        0         0
#> 101    9.97      1  10        0         1
#> 153.1 21.33      1  55        1         0
#> 61.1  10.12      1  36        0         1
#> 77     7.27      1  67        0         1
#> 61.2  10.12      1  36        0         1
#> 42.1  12.43      1  49        0         1
#> 175   21.91      1  43        0         0
#> 77.1   7.27      1  67        0         1
#> 199   19.81      1  NA        0         1
#> 42.2  12.43      1  49        0         1
#> 30    17.43      1  78        0         0
#> 70     7.38      1  30        1         0
#> 154.1 12.63      1  20        1         0
#> 183    9.24      1  67        1         0
#> 36    21.19      1  48        0         1
#> 113   22.86      1  34        0         0
#> 108   18.29      1  39        0         1
#> 5     16.43      1  51        0         1
#> 29    15.45      1  68        1         0
#> 49    12.19      1  48        1         0
#> 81    14.06      1  34        0         0
#> 179   18.63      1  42        0         0
#> 129   23.41      1  53        1         0
#> 145   10.07      1  65        1         0
#> 149    8.37      1  33        1         0
#> 139   21.49      1  63        1         0
#> 107   11.18      1  54        1         0
#> 18    15.21      1  49        1         0
#> 91     5.33      1  61        0         1
#> 61.3  10.12      1  36        0         1
#> 88    18.37      1  47        0         0
#> 76    19.22      1  54        0         1
#> 149.1  8.37      1  33        1         0
#> 169.2 22.41      1  46        0         0
#> 177   12.53      1  75        0         0
#> 192   16.44      1  31        1         0
#> 39    15.59      1  37        0         1
#> 66    22.13      1  53        0         0
#> 10.1  10.53      1  34        0         0
#> 134   17.81      1  47        1         0
#> 145.1 10.07      1  65        1         0
#> 10.2  10.53      1  34        0         0
#> 192.1 16.44      1  31        1         0
#> 14    12.89      1  21        0         0
#> 96    14.54      1  33        0         1
#> 117   17.46      1  26        0         1
#> 86    23.81      1  58        0         1
#> 199.1 19.81      1  NA        0         1
#> 13.1  14.34      1  54        0         1
#> 153.2 21.33      1  55        1         0
#> 86.1  23.81      1  58        0         1
#> 40    18.00      1  28        1         0
#> 36.1  21.19      1  48        0         1
#> 30.1  17.43      1  78        0         0
#> 58    19.34      1  39        0         0
#> 93    10.33      1  52        0         1
#> 79    16.23      1  54        1         0
#> 107.1 11.18      1  54        1         0
#> 100   16.07      1  60        0         0
#> 133   14.65      1  57        0         0
#> 194   22.40      1  38        0         1
#> 70.1   7.38      1  30        1         0
#> 70.2   7.38      1  30        1         0
#> 170.1 19.54      1  43        0         1
#> 124    9.73      1  NA        1         0
#> 86.2  23.81      1  58        0         1
#> 91.1   5.33      1  61        0         1
#> 127    3.53      1  62        0         1
#> 183.1  9.24      1  67        1         0
#> 100.1 16.07      1  60        0         0
#> 86.3  23.81      1  58        0         1
#> 183.2  9.24      1  67        1         0
#> 125.1 15.65      1  67        1         0
#> 16.1   8.71      1  71        0         1
#> 96.1  14.54      1  33        0         1
#> 10.3  10.53      1  34        0         0
#> 157.2 15.10      1  47        0         0
#> 30.2  17.43      1  78        0         0
#> 169.3 22.41      1  46        0         0
#> 183.3  9.24      1  67        1         0
#> 159   10.55      1  50        0         1
#> 66.1  22.13      1  53        0         0
#> 97    19.14      1  65        0         1
#> 51    18.23      1  83        0         1
#> 51.1  18.23      1  83        0         1
#> 10.4  10.53      1  34        0         0
#> 155   13.08      1  26        0         0
#> 97.1  19.14      1  65        0         1
#> 108.1 18.29      1  39        0         1
#> 173   24.00      0  19        0         1
#> 121   24.00      0  57        1         0
#> 152   24.00      0  36        0         1
#> 65    24.00      0  57        1         0
#> 83    24.00      0   6        0         0
#> 1     24.00      0  23        1         0
#> 126   24.00      0  48        0         0
#> 186   24.00      0  45        1         0
#> 54    24.00      0  53        1         0
#> 137   24.00      0  45        1         0
#> 84    24.00      0  39        0         1
#> 84.1  24.00      0  39        0         1
#> 98    24.00      0  34        1         0
#> 193   24.00      0  45        0         1
#> 120   24.00      0  68        0         1
#> 74    24.00      0  43        0         1
#> 48    24.00      0  31        1         0
#> 173.1 24.00      0  19        0         1
#> 186.1 24.00      0  45        1         0
#> 27    24.00      0  63        1         0
#> 94    24.00      0  51        0         1
#> 71    24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 48.1  24.00      0  31        1         0
#> 20    24.00      0  46        1         0
#> 122   24.00      0  66        0         0
#> 151   24.00      0  42        0         0
#> 163   24.00      0  66        0         0
#> 84.2  24.00      0  39        0         1
#> 144   24.00      0  28        0         1
#> 20.1  24.00      0  46        1         0
#> 122.1 24.00      0  66        0         0
#> 122.2 24.00      0  66        0         0
#> 74.1  24.00      0  43        0         1
#> 31    24.00      0  36        0         1
#> 147   24.00      0  76        1         0
#> 19    24.00      0  57        0         1
#> 67    24.00      0  25        0         0
#> 44    24.00      0  56        0         0
#> 62    24.00      0  71        0         0
#> 193.1 24.00      0  45        0         1
#> 83.1  24.00      0   6        0         0
#> 28    24.00      0  67        1         0
#> 121.1 24.00      0  57        1         0
#> 151.1 24.00      0  42        0         0
#> 65.1  24.00      0  57        1         0
#> 35    24.00      0  51        0         0
#> 1.1   24.00      0  23        1         0
#> 173.2 24.00      0  19        0         1
#> 33    24.00      0  53        0         0
#> 165   24.00      0  47        0         0
#> 98.1  24.00      0  34        1         0
#> 152.1 24.00      0  36        0         1
#> 53    24.00      0  32        0         1
#> 191   24.00      0  60        0         1
#> 62.1  24.00      0  71        0         0
#> 54.1  24.00      0  53        1         0
#> 172   24.00      0  41        0         0
#> 165.1 24.00      0  47        0         0
#> 73    24.00      0  NA        0         1
#> 200   24.00      0  64        0         0
#> 147.1 24.00      0  76        1         0
#> 131   24.00      0  66        0         0
#> 20.2  24.00      0  46        1         0
#> 119   24.00      0  17        0         0
#> 198   24.00      0  66        0         1
#> 138   24.00      0  44        1         0
#> 143   24.00      0  51        0         0
#> 74.2  24.00      0  43        0         1
#> 3     24.00      0  31        1         0
#> 48.2  24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 118   24.00      0  44        1         0
#> 142   24.00      0  53        0         0
#> 174   24.00      0  49        1         0
#> 9     24.00      0  31        1         0
#> 17    24.00      0  38        0         1
#> 82    24.00      0  34        0         0
#> 67.1  24.00      0  25        0         0
#> 147.2 24.00      0  76        1         0
#> 73.1  24.00      0  NA        0         1
#> 131.1 24.00      0  66        0         0
#> 80    24.00      0  41        0         0
#> 138.1 24.00      0  44        1         0
#> 71.1  24.00      0  51        0         0
#> 1.2   24.00      0  23        1         0
#> 156   24.00      0  50        1         0
#> 48.3  24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.823         NA        NA      NA
#> 2 age, Cure model           0.0197        NA        NA      NA
#> 3 grade_ii, Cure model     -0.174         NA        NA      NA
#> 4 grade_iii, Cure model     0.501         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0130        NA        NA      NA
#> 2 grade_ii, Survival model    0.512         NA        NA      NA
#> 3 grade_iii, Survival model   0.0975        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.82327           0.01973          -0.17432           0.50094  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.4 
#> Residual Deviance: 258.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.82327084       0.01972796      -0.17432335       0.50093867 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01297936       0.51170329       0.09745754 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.0125042032 0.4481308551 0.0861935172 0.1048304748 0.0984096155
#>   [6] 0.6965115685 0.3727952150 0.0192636051 0.0922077454 0.0045216274
#>  [11] 0.5399260246 0.8380085260 0.4369592541 0.2106312090 0.3218655402
#>  [16] 0.2549483138 0.0587756379 0.3727952150 0.6232148706 0.5054909103
#>  [21] 0.0067670980 0.0192636051 0.7728907610 0.0587756379 0.6965115685
#>  [26] 0.9314880931 0.6965115685 0.5399260246 0.0479040371 0.9314880931
#>  [31] 0.5399260246 0.2279495636 0.8917626639 0.5054909103 0.7859691276
#>  [36] 0.0745600269 0.0157538470 0.1615693257 0.2830387084 0.3520930911
#>  [41] 0.5751070643 0.4706991288 0.1462150073 0.0095634203 0.7469691792
#>  [46] 0.8649218723 0.0532665583 0.5871080059 0.3624268687 0.9585810492
#>  [51] 0.6965115685 0.1538046579 0.1247064196 0.8649218723 0.0192636051
#>  [56] 0.5282586206 0.2644765856 0.3418524659 0.0382162905 0.6232148706
#>  [61] 0.2021902590 0.7469691792 0.6232148706 0.2644765856 0.4938235744
#>  [66] 0.4151140960 0.2192538837 0.0006590632 0.4481308551 0.0587756379
#>  [71] 0.0006590632 0.1937822267 0.0745600269 0.2279495636 0.1178508473
#>  [76] 0.6838316551 0.2926149028 0.5871080059 0.3022454451 0.4042078919
#>  [81] 0.0336435156 0.8917626639 0.8917626639 0.1048304748 0.0006590632
#>  [86] 0.9585810492 0.9860628399 0.7859691276 0.3022454451 0.0006590632
#>  [91] 0.7859691276 0.3218655402 0.8380085260 0.4151140960 0.6232148706
#>  [96] 0.3727952150 0.2279495636 0.0192636051 0.7859691276 0.6110315456
#> [101] 0.0382162905 0.1317371594 0.1772187837 0.1772187837 0.6232148706
#> [106] 0.4822216453 0.1317371594 0.1615693257 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>    92    13    32   170   105    61   157   169   150   168    42    16    57 
#> 22.92 14.34 20.90 19.54 19.75 10.12 15.10 22.41 20.33 23.72 12.43  8.71 14.46 
#>   110   125    23   153 157.1    10   154   164 169.1   101 153.1  61.1    77 
#> 17.56 15.65 16.92 21.33 15.10 10.53 12.63 23.60 22.41  9.97 21.33 10.12  7.27 
#>  61.2  42.1   175  77.1  42.2    30    70 154.1   183    36   113   108     5 
#> 10.12 12.43 21.91  7.27 12.43 17.43  7.38 12.63  9.24 21.19 22.86 18.29 16.43 
#>    29    49    81   179   129   145   149   139   107    18    91  61.3    88 
#> 15.45 12.19 14.06 18.63 23.41 10.07  8.37 21.49 11.18 15.21  5.33 10.12 18.37 
#>    76 149.1 169.2   177   192    39    66  10.1   134 145.1  10.2 192.1    14 
#> 19.22  8.37 22.41 12.53 16.44 15.59 22.13 10.53 17.81 10.07 10.53 16.44 12.89 
#>    96   117    86  13.1 153.2  86.1    40  36.1  30.1    58    93    79 107.1 
#> 14.54 17.46 23.81 14.34 21.33 23.81 18.00 21.19 17.43 19.34 10.33 16.23 11.18 
#>   100   133   194  70.1  70.2 170.1  86.2  91.1   127 183.1 100.1  86.3 183.2 
#> 16.07 14.65 22.40  7.38  7.38 19.54 23.81  5.33  3.53  9.24 16.07 23.81  9.24 
#> 125.1  16.1  96.1  10.3 157.2  30.2 169.3 183.3   159  66.1    97    51  51.1 
#> 15.65  8.71 14.54 10.53 15.10 17.43 22.41  9.24 10.55 22.13 19.14 18.23 18.23 
#>  10.4   155  97.1 108.1   173   121   152    65    83     1   126   186    54 
#> 10.53 13.08 19.14 18.29 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137    84  84.1    98   193   120    74    48 173.1 186.1    27    94    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11  48.1    20   122   151   163  84.2   144  20.1 122.1 122.2  74.1    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147    19    67    44    62 193.1  83.1    28 121.1 151.1  65.1    35   1.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 173.2    33   165  98.1 152.1    53   191  62.1  54.1   172 165.1   200 147.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131  20.2   119   198   138   143  74.2     3  48.2    47   118   142   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9    17    82  67.1 147.2 131.1    80 138.1  71.1   1.2   156  48.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[47]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01264571                0.11827246                0.07843804 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              0.83727352             -0.02394213              0.26240742 
#>   grade_iii, Cure model 
#>              1.18859904 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 18    15.21      1  49        1         0
#> 41    18.02      1  40        1         0
#> 187    9.92      1  39        1         0
#> 136   21.83      1  43        0         1
#> 57    14.46      1  45        0         1
#> 153   21.33      1  55        1         0
#> 50    10.02      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 145   10.07      1  65        1         0
#> 77     7.27      1  67        0         1
#> 89    11.44      1  NA        0         0
#> 107   11.18      1  54        1         0
#> 63    22.77      1  31        1         0
#> 155   13.08      1  26        0         0
#> 159   10.55      1  50        0         1
#> 117   17.46      1  26        0         1
#> 85    16.44      1  36        0         0
#> 99    21.19      1  38        0         1
#> 136.1 21.83      1  43        0         1
#> 170   19.54      1  43        0         1
#> 89.1  11.44      1  NA        0         0
#> 149    8.37      1  33        1         0
#> 61    10.12      1  36        0         1
#> 25     6.32      1  34        1         0
#> 180   14.82      1  37        0         0
#> 8     18.43      1  32        0         0
#> 5     16.43      1  51        0         1
#> 124    9.73      1  NA        1         0
#> 60    13.15      1  38        1         0
#> 166   19.98      1  48        0         0
#> 107.1 11.18      1  54        1         0
#> 114   13.68      1  NA        0         0
#> 36    21.19      1  48        0         1
#> 32    20.90      1  37        1         0
#> 100   16.07      1  60        0         0
#> 136.2 21.83      1  43        0         1
#> 154   12.63      1  20        1         0
#> 16     8.71      1  71        0         1
#> 25.1   6.32      1  34        1         0
#> 180.1 14.82      1  37        0         0
#> 153.1 21.33      1  55        1         0
#> 18.1  15.21      1  49        1         0
#> 26    15.77      1  49        0         1
#> 50.1  10.02      1  NA        1         0
#> 6     15.64      1  39        0         0
#> 154.1 12.63      1  20        1         0
#> 15    22.68      1  48        0         0
#> 6.1   15.64      1  39        0         0
#> 154.2 12.63      1  20        1         0
#> 92    22.92      1  47        0         1
#> 18.2  15.21      1  49        1         0
#> 189   10.51      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 59    10.16      1  NA        1         0
#> 192   16.44      1  31        1         0
#> 92.1  22.92      1  47        0         1
#> 128   20.35      1  35        0         1
#> 32.1  20.90      1  37        1         0
#> 96    14.54      1  33        0         1
#> 105   19.75      1  60        0         0
#> 36.1  21.19      1  48        0         1
#> 189.1 10.51      1  NA        1         0
#> 192.1 16.44      1  31        1         0
#> 14    12.89      1  21        0         0
#> 117.1 17.46      1  26        0         1
#> 159.1 10.55      1  50        0         1
#> 168   23.72      1  70        0         0
#> 166.1 19.98      1  48        0         0
#> 195   11.76      1  NA        1         0
#> 39    15.59      1  37        0         1
#> 23    16.92      1  61        0         0
#> 59.1  10.16      1  NA        1         0
#> 63.1  22.77      1  31        1         0
#> 175   21.91      1  43        0         0
#> 129   23.41      1  53        1         0
#> 168.1 23.72      1  70        0         0
#> 130.1 16.47      1  53        0         1
#> 56    12.21      1  60        0         0
#> 129.1 23.41      1  53        1         0
#> 63.2  22.77      1  31        1         0
#> 51    18.23      1  83        0         1
#> 157   15.10      1  47        0         0
#> 58    19.34      1  39        0         0
#> 101    9.97      1  10        0         1
#> 32.2  20.90      1  37        1         0
#> 70     7.38      1  30        1         0
#> 194   22.40      1  38        0         1
#> 51.1  18.23      1  83        0         1
#> 78    23.88      1  43        0         0
#> 43    12.10      1  61        0         1
#> 81    14.06      1  34        0         0
#> 145.1 10.07      1  65        1         0
#> 18.3  15.21      1  49        1         0
#> 114.1 13.68      1  NA        0         0
#> 29    15.45      1  68        1         0
#> 36.2  21.19      1  48        0         1
#> 133   14.65      1  57        0         0
#> 110   17.56      1  65        0         1
#> 50.2  10.02      1  NA        1         0
#> 4     17.64      1  NA        0         1
#> 63.3  22.77      1  31        1         0
#> 59.2  10.16      1  NA        1         0
#> 188   16.16      1  46        0         1
#> 192.2 16.44      1  31        1         0
#> 155.1 13.08      1  26        0         0
#> 192.3 16.44      1  31        1         0
#> 158   20.14      1  74        1         0
#> 90    20.94      1  50        0         1
#> 14.1  12.89      1  21        0         0
#> 60.1  13.15      1  38        1         0
#> 10    10.53      1  34        0         0
#> 49    12.19      1  48        1         0
#> 65    24.00      0  57        1         0
#> 115   24.00      0  NA        1         0
#> 17    24.00      0  38        0         1
#> 146   24.00      0  63        1         0
#> 185   24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 156   24.00      0  50        1         0
#> 200   24.00      0  64        0         0
#> 163   24.00      0  66        0         0
#> 182   24.00      0  35        0         0
#> 11    24.00      0  42        0         1
#> 28    24.00      0  67        1         0
#> 152   24.00      0  36        0         1
#> 27.1  24.00      0  63        1         0
#> 7     24.00      0  37        1         0
#> 173   24.00      0  19        0         1
#> 9     24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 35    24.00      0  51        0         0
#> 54    24.00      0  53        1         0
#> 67    24.00      0  25        0         0
#> 104   24.00      0  50        1         0
#> 193   24.00      0  45        0         1
#> 67.1  24.00      0  25        0         0
#> 193.1 24.00      0  45        0         1
#> 151   24.00      0  42        0         0
#> 35.1  24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 121   24.00      0  57        1         0
#> 137   24.00      0  45        1         0
#> 28.1  24.00      0  67        1         0
#> 191   24.00      0  60        0         1
#> 186   24.00      0  45        1         0
#> 98    24.00      0  34        1         0
#> 3     24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 22    24.00      0  52        1         0
#> 87    24.00      0  27        0         0
#> 138   24.00      0  44        1         0
#> 165   24.00      0  47        0         0
#> 142   24.00      0  53        0         0
#> 31    24.00      0  36        0         1
#> 109   24.00      0  48        0         0
#> 137.1 24.00      0  45        1         0
#> 138.1 24.00      0  44        1         0
#> 135   24.00      0  58        1         0
#> 54.1  24.00      0  53        1         0
#> 44    24.00      0  56        0         0
#> 186.1 24.00      0  45        1         0
#> 120   24.00      0  68        0         1
#> 62.1  24.00      0  71        0         0
#> 137.2 24.00      0  45        1         0
#> 176   24.00      0  43        0         1
#> 182.1 24.00      0  35        0         0
#> 115.1 24.00      0  NA        1         0
#> 200.1 24.00      0  64        0         0
#> 135.1 24.00      0  58        1         0
#> 62.2  24.00      0  71        0         0
#> 142.1 24.00      0  53        0         0
#> 143   24.00      0  51        0         0
#> 200.2 24.00      0  64        0         0
#> 120.1 24.00      0  68        0         1
#> 102   24.00      0  49        0         0
#> 115.2 24.00      0  NA        1         0
#> 28.2  24.00      0  67        1         0
#> 65.1  24.00      0  57        1         0
#> 131   24.00      0  66        0         0
#> 64    24.00      0  43        0         0
#> 160   24.00      0  31        1         0
#> 137.3 24.00      0  45        1         0
#> 102.1 24.00      0  49        0         0
#> 27.2  24.00      0  63        1         0
#> 165.1 24.00      0  47        0         0
#> 33    24.00      0  53        0         0
#> 67.2  24.00      0  25        0         0
#> 182.2 24.00      0  35        0         0
#> 82    24.00      0  34        0         0
#> 163.1 24.00      0  66        0         0
#> 119   24.00      0  17        0         0
#> 132   24.00      0  55        0         0
#> 11.1  24.00      0  42        0         1
#> 84    24.00      0  39        0         1
#> 174   24.00      0  49        1         0
#> 31.1  24.00      0  36        0         1
#> 22.1  24.00      0  52        1         0
#> 148   24.00      0  61        1         0
#> 137.4 24.00      0  45        1         0
#> 161   24.00      0  45        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model   0.837         NA        NA      NA
#> 2 age, Cure model          -0.0239        NA        NA      NA
#> 3 grade_ii, Cure model      0.262         NA        NA      NA
#> 4 grade_iii, Cure model     1.19          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0126        NA        NA      NA
#> 2 grade_ii, Survival model    0.118         NA        NA      NA
#> 3 grade_iii, Survival model   0.0784        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          0.83727          -0.02394           0.26241           1.18860  
#> 
#> Degrees of Freedom: 181 Total (i.e. Null);  178 Residual
#> Null Deviance:	    251.5 
#> Residual Deviance: 238.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.83727352      -0.02394213       0.26240742       1.18859904 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01264571       0.11827246       0.07843804 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.4384631994 0.2217730963 0.8874427318 0.0474496926 0.5535251682
#>   [6] 0.0631905926 0.1850013594 0.8406352954 0.9512891473 0.7501053783
#>  [11] 0.0180523578 0.6083093486 0.7797646004 0.2414393041 0.2925540321
#>  [16] 0.0750871258 0.0474496926 0.1676800412 0.9191844399 0.8252285275
#>  [21] 0.9675203810 0.5006269203 0.1939364762 0.3445169446 0.5808267326
#>  [26] 0.1433086472 0.7501053783 0.0750871258 0.1069301366 0.3671381369
#>  [31] 0.0474496926 0.6642667768 0.9032355995 0.9675203810 0.5006269203
#>  [36] 0.0631905926 0.4384631994 0.3787106232 0.3904328373 0.6642667768
#>  [41] 0.0325271517 0.3904328373 0.6642667768 0.0105924348 0.4384631994
#>  [46] 0.2715960668 0.2925540321 0.0105924348 0.1279430570 0.1069301366
#>  [51] 0.5400600330 0.1592625123 0.0750871258 0.2925540321 0.6361444936
#>  [56] 0.2414393041 0.7797646004 0.0011681976 0.1433086472 0.4140698594
#>  [61] 0.2612701373 0.0180523578 0.0422340946 0.0048458272 0.0011681976
#>  [66] 0.2715960668 0.7063342365 0.0048458272 0.0180523578 0.2030107778
#>  [71] 0.4876762950 0.1762578435 0.8717372525 0.1069301366 0.9352051333
#>  [76] 0.0372757589 0.2030107778 0.0002086663 0.7353799916 0.5671185333
#>  [81] 0.8406352954 0.4384631994 0.4261751346 0.0750871258 0.5266907183
#>  [86] 0.2314966497 0.0180523578 0.3557564334 0.2925540321 0.6083093486
#>  [91] 0.2925540321 0.1355042226 0.0998544564 0.6361444936 0.5808267326
#>  [96] 0.8099115441 0.7208005516 0.0000000000 0.0000000000 0.0000000000
#> [101] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000
#> 
#> $Time
#>    18    41   187   136    57   153    76   145    77   107    63   155   159 
#> 15.21 18.02  9.92 21.83 14.46 21.33 19.22 10.07  7.27 11.18 22.77 13.08 10.55 
#>   117    85    99 136.1   170   149    61    25   180     8     5    60   166 
#> 17.46 16.44 21.19 21.83 19.54  8.37 10.12  6.32 14.82 18.43 16.43 13.15 19.98 
#> 107.1    36    32   100 136.2   154    16  25.1 180.1 153.1  18.1    26     6 
#> 11.18 21.19 20.90 16.07 21.83 12.63  8.71  6.32 14.82 21.33 15.21 15.77 15.64 
#> 154.1    15   6.1 154.2    92  18.2   130   192  92.1   128  32.1    96   105 
#> 12.63 22.68 15.64 12.63 22.92 15.21 16.47 16.44 22.92 20.35 20.90 14.54 19.75 
#>  36.1 192.1    14 117.1 159.1   168 166.1    39    23  63.1   175   129 168.1 
#> 21.19 16.44 12.89 17.46 10.55 23.72 19.98 15.59 16.92 22.77 21.91 23.41 23.72 
#> 130.1    56 129.1  63.2    51   157    58   101  32.2    70   194  51.1    78 
#> 16.47 12.21 23.41 22.77 18.23 15.10 19.34  9.97 20.90  7.38 22.40 18.23 23.88 
#>    43    81 145.1  18.3    29  36.2   133   110  63.3   188 192.2 155.1 192.3 
#> 12.10 14.06 10.07 15.21 15.45 21.19 14.65 17.56 22.77 16.16 16.44 13.08 16.44 
#>   158    90  14.1  60.1    10    49    65    17   146   185    27   156   200 
#> 20.14 20.94 12.89 13.15 10.53 12.19 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163   182    11    28   152  27.1     7   173     9    62    35    54    67 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104   193  67.1 193.1   151  35.1    48   121   137  28.1   191   186    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3   178    22    87   138   165   142    31   109 137.1 138.1   135  54.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44 186.1   120  62.1 137.2   176 182.1 200.1 135.1  62.2 142.1   143 200.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 120.1   102  28.2  65.1   131    64   160 137.3 102.1  27.2 165.1    33  67.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 182.2    82 163.1   119   132  11.1    84   174  31.1  22.1   148 137.4   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[48]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003581913               0.725541277               0.822086982 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.142878663            -0.001864353             0.089763217 
#>   grade_iii, Cure model 
#>             0.252166218 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 169   22.41      1  46        0         0
#> 100   16.07      1  60        0         0
#> 70     7.38      1  30        1         0
#> 70.1   7.38      1  30        1         0
#> 8     18.43      1  32        0         0
#> 153   21.33      1  55        1         0
#> 167   15.55      1  56        1         0
#> 199   19.81      1  NA        0         1
#> 88    18.37      1  47        0         0
#> 199.1 19.81      1  NA        0         1
#> 66    22.13      1  53        0         0
#> 85    16.44      1  36        0         0
#> 86    23.81      1  58        0         1
#> 105   19.75      1  60        0         0
#> 55    19.34      1  69        0         1
#> 184   17.77      1  38        0         0
#> 29    15.45      1  68        1         0
#> 169.1 22.41      1  46        0         0
#> 183    9.24      1  67        1         0
#> 157   15.10      1  47        0         0
#> 50    10.02      1  NA        1         0
#> 169.2 22.41      1  46        0         0
#> 88.1  18.37      1  47        0         0
#> 133   14.65      1  57        0         0
#> 40    18.00      1  28        1         0
#> 153.1 21.33      1  55        1         0
#> 43    12.10      1  61        0         1
#> 43.1  12.10      1  61        0         1
#> 36    21.19      1  48        0         1
#> 15    22.68      1  48        0         0
#> 43.2  12.10      1  61        0         1
#> 155   13.08      1  26        0         0
#> 106   16.67      1  49        1         0
#> 124    9.73      1  NA        1         0
#> 124.1  9.73      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 41    18.02      1  40        1         0
#> 190   20.81      1  42        1         0
#> 60    13.15      1  38        1         0
#> 158   20.14      1  74        1         0
#> 51    18.23      1  83        0         1
#> 23    16.92      1  61        0         0
#> 192   16.44      1  31        1         0
#> 181   16.46      1  45        0         1
#> 78    23.88      1  43        0         0
#> 14    12.89      1  21        0         0
#> 101    9.97      1  10        0         1
#> 114   13.68      1  NA        0         0
#> 169.3 22.41      1  46        0         0
#> 125   15.65      1  67        1         0
#> 89    11.44      1  NA        0         0
#> 78.1  23.88      1  43        0         0
#> 125.1 15.65      1  67        1         0
#> 125.2 15.65      1  67        1         0
#> 61    10.12      1  36        0         1
#> 78.2  23.88      1  43        0         0
#> 110   17.56      1  65        0         1
#> 24    23.89      1  38        0         0
#> 129   23.41      1  53        1         0
#> 79    16.23      1  54        1         0
#> 10    10.53      1  34        0         0
#> 57    14.46      1  45        0         1
#> 32    20.90      1  37        1         0
#> 106.1 16.67      1  49        1         0
#> 70.2   7.38      1  30        1         0
#> 99    21.19      1  38        0         1
#> 58    19.34      1  39        0         0
#> 91.1   5.33      1  61        0         1
#> 184.1 17.77      1  38        0         0
#> 154   12.63      1  20        1         0
#> 16     8.71      1  71        0         1
#> 197   21.60      1  69        1         0
#> 81    14.06      1  34        0         0
#> 41.1  18.02      1  40        1         0
#> 155.1 13.08      1  26        0         0
#> 25     6.32      1  34        1         0
#> 124.2  9.73      1  NA        1         0
#> 153.2 21.33      1  55        1         0
#> 76    19.22      1  54        0         1
#> 78.3  23.88      1  43        0         0
#> 5     16.43      1  51        0         1
#> 99.1  21.19      1  38        0         1
#> 16.1   8.71      1  71        0         1
#> 41.2  18.02      1  40        1         0
#> 169.4 22.41      1  46        0         0
#> 10.1  10.53      1  34        0         0
#> 171   16.57      1  41        0         1
#> 107   11.18      1  54        1         0
#> 50.1  10.02      1  NA        1         0
#> 88.2  18.37      1  47        0         0
#> 199.2 19.81      1  NA        0         1
#> 181.1 16.46      1  45        0         1
#> 77     7.27      1  67        0         1
#> 183.1  9.24      1  67        1         0
#> 69    23.23      1  25        0         1
#> 37    12.52      1  57        1         0
#> 24.1  23.89      1  38        0         0
#> 149    8.37      1  33        1         0
#> 32.1  20.90      1  37        1         0
#> 108   18.29      1  39        0         1
#> 6     15.64      1  39        0         0
#> 68    20.62      1  44        0         0
#> 77.1   7.27      1  67        0         1
#> 158.1 20.14      1  74        1         0
#> 199.3 19.81      1  NA        0         1
#> 123   13.00      1  44        1         0
#> 139   21.49      1  63        1         0
#> 85.1  16.44      1  36        0         0
#> 56    12.21      1  60        0         0
#> 197.1 21.60      1  69        1         0
#> 158.2 20.14      1  74        1         0
#> 181.2 16.46      1  45        0         1
#> 163   24.00      0  66        0         0
#> 151   24.00      0  42        0         0
#> 62    24.00      0  71        0         0
#> 64    24.00      0  43        0         0
#> 48    24.00      0  31        1         0
#> 17    24.00      0  38        0         1
#> 102   24.00      0  49        0         0
#> 17.1  24.00      0  38        0         1
#> 62.1  24.00      0  71        0         0
#> 121   24.00      0  57        1         0
#> 160   24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 191   24.00      0  60        0         1
#> 162   24.00      0  51        0         0
#> 160.1 24.00      0  31        1         0
#> 62.2  24.00      0  71        0         0
#> 126   24.00      0  48        0         0
#> 48.1  24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 176   24.00      0  43        0         1
#> 31    24.00      0  36        0         1
#> 31.1  24.00      0  36        0         1
#> 75    24.00      0  21        1         0
#> 48.2  24.00      0  31        1         0
#> 94    24.00      0  51        0         1
#> 20    24.00      0  46        1         0
#> 200   24.00      0  64        0         0
#> 122   24.00      0  66        0         0
#> 9     24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 62.3  24.00      0  71        0         0
#> 83    24.00      0   6        0         0
#> 198   24.00      0  66        0         1
#> 62.4  24.00      0  71        0         0
#> 147   24.00      0  76        1         0
#> 109   24.00      0  48        0         0
#> 112   24.00      0  61        0         0
#> 160.2 24.00      0  31        1         0
#> 83.1  24.00      0   6        0         0
#> 98    24.00      0  34        1         0
#> 34    24.00      0  36        0         0
#> 104   24.00      0  50        1         0
#> 137   24.00      0  45        1         0
#> 161   24.00      0  45        0         0
#> 17.2  24.00      0  38        0         1
#> 141   24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 11    24.00      0  42        0         1
#> 19    24.00      0  57        0         1
#> 126.1 24.00      0  48        0         0
#> 65    24.00      0  57        1         0
#> 87    24.00      0  27        0         0
#> 186   24.00      0  45        1         0
#> 28    24.00      0  67        1         0
#> 22    24.00      0  52        1         0
#> 186.1 24.00      0  45        1         0
#> 46    24.00      0  71        0         0
#> 21    24.00      0  47        0         0
#> 83.2  24.00      0   6        0         0
#> 126.2 24.00      0  48        0         0
#> 146   24.00      0  63        1         0
#> 143   24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 178   24.00      0  52        1         0
#> 11.1  24.00      0  42        0         1
#> 185   24.00      0  44        1         0
#> 102.1 24.00      0  49        0         0
#> 116   24.00      0  58        0         1
#> 98.1  24.00      0  34        1         0
#> 198.1 24.00      0  66        0         1
#> 54    24.00      0  53        1         0
#> 161.1 24.00      0  45        0         0
#> 103   24.00      0  56        1         0
#> 198.2 24.00      0  66        0         1
#> 2     24.00      0   9        0         0
#> 46.1  24.00      0  71        0         0
#> 74    24.00      0  43        0         1
#> 135   24.00      0  58        1         0
#> 116.1 24.00      0  58        0         1
#> 147.1 24.00      0  76        1         0
#> 65.1  24.00      0  57        1         0
#> 103.1 24.00      0  56        1         0
#> 46.2  24.00      0  71        0         0
#> 173   24.00      0  19        0         1
#> 62.5  24.00      0  71        0         0
#> 73    24.00      0  NA        0         1
#> 178.1 24.00      0  52        1         0
#> 94.1  24.00      0  51        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.143          NA        NA      NA
#> 2 age, Cure model         -0.00186        NA        NA      NA
#> 3 grade_ii, Cure model     0.0898         NA        NA      NA
#> 4 grade_iii, Cure model    0.252          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00358        NA        NA      NA
#> 2 grade_ii, Survival model   0.726          NA        NA      NA
#> 3 grade_iii, Survival model  0.822          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.142879         -0.001864          0.089763          0.252166  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.6 
#> Residual Deviance: 259.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.142878663     -0.001864353      0.089763217      0.252166218 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003581913      0.725541277      0.822086982 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.17917227 0.70217026 0.94529337 0.94529337 0.48082420 0.30165621
#>   [7] 0.74188857 0.49057719 0.24540836 0.66136514 0.11594686 0.44142141
#>  [13] 0.45147957 0.57471240 0.74979941 0.17917227 0.90961731 0.75765889
#>  [19] 0.17917227 0.49057719 0.76553104 0.56569626 0.30165621 0.85060360
#>  [25] 0.85060360 0.33754712 0.16443906 0.85060360 0.79681186 0.61058164
#>  [31] 0.98653346 0.53870902 0.39113959 0.78905214 0.41205572 0.52917499
#>  [37] 0.60161495 0.66136514 0.63666995 0.05352295 0.81999840 0.90232686
#>  [43] 0.17917227 0.71030230 0.05352295 0.71030230 0.71030230 0.89496532
#>  [49] 0.05352295 0.59267442 0.01701847 0.13368987 0.69405639 0.88018169
#>  [55] 0.77341816 0.37011151 0.61058164 0.94529337 0.33754712 0.45147957
#>  [61] 0.98653346 0.57471240 0.82771966 0.92399630 0.26053229 0.78123066
#>  [67] 0.53870902 0.79681186 0.97969948 0.30165621 0.47109259 0.05352295
#>  [73] 0.68587534 0.33754712 0.92399630 0.53870902 0.17917227 0.88018169
#>  [79] 0.62801077 0.87277290 0.49057719 0.63666995 0.96600026 0.90961731
#>  [85] 0.14991218 0.83537502 0.01701847 0.93820628 0.37011151 0.51952095
#>  [91] 0.73391906 0.40157780 0.96600026 0.41205572 0.81228239 0.28800712
#>  [97] 0.66136514 0.84298266 0.26053229 0.41205572 0.63666995 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>   169   100    70  70.1     8   153   167    88    66    85    86   105    55 
#> 22.41 16.07  7.38  7.38 18.43 21.33 15.55 18.37 22.13 16.44 23.81 19.75 19.34 
#>   184    29 169.1   183   157 169.2  88.1   133    40 153.1    43  43.1    36 
#> 17.77 15.45 22.41  9.24 15.10 22.41 18.37 14.65 18.00 21.33 12.10 12.10 21.19 
#>    15  43.2   155   106    91    41   190    60   158    51    23   192   181 
#> 22.68 12.10 13.08 16.67  5.33 18.02 20.81 13.15 20.14 18.23 16.92 16.44 16.46 
#>    78    14   101 169.3   125  78.1 125.1 125.2    61  78.2   110    24   129 
#> 23.88 12.89  9.97 22.41 15.65 23.88 15.65 15.65 10.12 23.88 17.56 23.89 23.41 
#>    79    10    57    32 106.1  70.2    99    58  91.1 184.1   154    16   197 
#> 16.23 10.53 14.46 20.90 16.67  7.38 21.19 19.34  5.33 17.77 12.63  8.71 21.60 
#>    81  41.1 155.1    25 153.2    76  78.3     5  99.1  16.1  41.2 169.4  10.1 
#> 14.06 18.02 13.08  6.32 21.33 19.22 23.88 16.43 21.19  8.71 18.02 22.41 10.53 
#>   171   107  88.2 181.1    77 183.1    69    37  24.1   149  32.1   108     6 
#> 16.57 11.18 18.37 16.46  7.27  9.24 23.23 12.52 23.89  8.37 20.90 18.29 15.64 
#>    68  77.1 158.1   123   139  85.1    56 197.1 158.2 181.2   163   151    62 
#> 20.62  7.27 20.14 13.00 21.49 16.44 12.21 21.60 20.14 16.46 24.00 24.00 24.00 
#>    64    48    17   102  17.1  62.1   121   160   182   191   162 160.1  62.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126  48.1   120   176    31  31.1    75  48.2    94    20   200   122     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174  62.3    83   198  62.4   147   109   112 160.2  83.1    98    34   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137   161  17.2   141    80    11    19 126.1    65    87   186    28    22 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 186.1    46    21  83.2 126.2   146   143    27   178  11.1   185 102.1   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.1 198.1    54 161.1   103 198.2     2  46.1    74   135 116.1 147.1  65.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 103.1  46.2   173  62.5 178.1  94.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[49]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00408644                0.76556474                0.35778973 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.289482856             0.004569356             0.261205858 
#>   grade_iii, Cure model 
#>             0.615733806 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 199   19.81      1  NA        0         1
#> 16     8.71      1  71        0         1
#> 6     15.64      1  39        0         0
#> 32    20.90      1  37        1         0
#> 77     7.27      1  67        0         1
#> 78    23.88      1  43        0         0
#> 106   16.67      1  49        1         0
#> 61    10.12      1  36        0         1
#> 117   17.46      1  26        0         1
#> 60    13.15      1  38        1         0
#> 25     6.32      1  34        1         0
#> 100   16.07      1  60        0         0
#> 91     5.33      1  61        0         1
#> 154   12.63      1  20        1         0
#> 181   16.46      1  45        0         1
#> 4     17.64      1  NA        0         1
#> 68    20.62      1  44        0         0
#> 167   15.55      1  56        1         0
#> 79    16.23      1  54        1         0
#> 140   12.68      1  59        1         0
#> 100.1 16.07      1  60        0         0
#> 30    17.43      1  78        0         0
#> 179   18.63      1  42        0         0
#> 140.1 12.68      1  59        1         0
#> 61.1  10.12      1  36        0         1
#> 158   20.14      1  74        1         0
#> 164   23.60      1  76        0         1
#> 159   10.55      1  50        0         1
#> 130   16.47      1  53        0         1
#> 175   21.91      1  43        0         0
#> 157   15.10      1  47        0         0
#> 192   16.44      1  31        1         0
#> 58    19.34      1  39        0         0
#> 139   21.49      1  63        1         0
#> 49    12.19      1  48        1         0
#> 124    9.73      1  NA        1         0
#> 10    10.53      1  34        0         0
#> 199.1 19.81      1  NA        0         1
#> 113   22.86      1  34        0         0
#> 79.1  16.23      1  54        1         0
#> 183    9.24      1  67        1         0
#> 78.1  23.88      1  43        0         0
#> 134   17.81      1  47        1         0
#> 128   20.35      1  35        0         1
#> 188   16.16      1  46        0         1
#> 117.1 17.46      1  26        0         1
#> 70     7.38      1  30        1         0
#> 167.1 15.55      1  56        1         0
#> 66    22.13      1  53        0         0
#> 140.2 12.68      1  59        1         0
#> 123   13.00      1  44        1         0
#> 81    14.06      1  34        0         0
#> 189   10.51      1  NA        1         0
#> 117.2 17.46      1  26        0         1
#> 13    14.34      1  54        0         1
#> 123.1 13.00      1  44        1         0
#> 58.1  19.34      1  39        0         0
#> 170   19.54      1  43        0         1
#> 32.1  20.90      1  37        1         0
#> 29    15.45      1  68        1         0
#> 158.1 20.14      1  74        1         0
#> 18    15.21      1  49        1         0
#> 42    12.43      1  49        0         1
#> 77.1   7.27      1  67        0         1
#> 189.1 10.51      1  NA        1         0
#> 25.1   6.32      1  34        1         0
#> 79.2  16.23      1  54        1         0
#> 164.1 23.60      1  76        0         1
#> 108   18.29      1  39        0         1
#> 63    22.77      1  31        1         0
#> 114   13.68      1  NA        0         0
#> 41    18.02      1  40        1         0
#> 153   21.33      1  55        1         0
#> 175.1 21.91      1  43        0         0
#> 111   17.45      1  47        0         1
#> 140.3 12.68      1  59        1         0
#> 155   13.08      1  26        0         0
#> 68.1  20.62      1  44        0         0
#> 8     18.43      1  32        0         0
#> 52    10.42      1  52        0         1
#> 164.2 23.60      1  76        0         1
#> 41.1  18.02      1  40        1         0
#> 128.1 20.35      1  35        0         1
#> 10.1  10.53      1  34        0         0
#> 188.1 16.16      1  46        0         1
#> 113.1 22.86      1  34        0         0
#> 133   14.65      1  57        0         0
#> 99    21.19      1  38        0         1
#> 157.1 15.10      1  47        0         0
#> 157.2 15.10      1  47        0         0
#> 150   20.33      1  48        0         0
#> 6.1   15.64      1  39        0         0
#> 128.2 20.35      1  35        0         1
#> 183.1  9.24      1  67        1         0
#> 78.2  23.88      1  43        0         0
#> 5     16.43      1  51        0         1
#> 49.1  12.19      1  48        1         0
#> 86    23.81      1  58        0         1
#> 14    12.89      1  21        0         0
#> 171   16.57      1  41        0         1
#> 99.1  21.19      1  38        0         1
#> 69    23.23      1  25        0         1
#> 181.1 16.46      1  45        0         1
#> 45    17.42      1  54        0         1
#> 30.1  17.43      1  78        0         0
#> 159.1 10.55      1  50        0         1
#> 150.1 20.33      1  48        0         0
#> 154.1 12.63      1  20        1         0
#> 43    12.10      1  61        0         1
#> 96    14.54      1  33        0         1
#> 45.1  17.42      1  54        0         1
#> 150.2 20.33      1  48        0         0
#> 120   24.00      0  68        0         1
#> 22    24.00      0  52        1         0
#> 28    24.00      0  67        1         0
#> 28.1  24.00      0  67        1         0
#> 115   24.00      0  NA        1         0
#> 102   24.00      0  49        0         0
#> 178   24.00      0  52        1         0
#> 152   24.00      0  36        0         1
#> 46    24.00      0  71        0         0
#> 173   24.00      0  19        0         1
#> 112   24.00      0  61        0         0
#> 135   24.00      0  58        1         0
#> 28.2  24.00      0  67        1         0
#> 143   24.00      0  51        0         0
#> 148   24.00      0  61        1         0
#> 64    24.00      0  43        0         0
#> 20    24.00      0  46        1         0
#> 34    24.00      0  36        0         0
#> 112.1 24.00      0  61        0         0
#> 196   24.00      0  19        0         0
#> 182   24.00      0  35        0         0
#> 191   24.00      0  60        0         1
#> 73    24.00      0  NA        0         1
#> 196.1 24.00      0  19        0         0
#> 48    24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 83    24.00      0   6        0         0
#> 120.1 24.00      0  68        0         1
#> 186   24.00      0  45        1         0
#> 95    24.00      0  68        0         1
#> 34.1  24.00      0  36        0         0
#> 122   24.00      0  66        0         0
#> 9     24.00      0  31        1         0
#> 147   24.00      0  76        1         0
#> 72    24.00      0  40        0         1
#> 142   24.00      0  53        0         0
#> 48.1  24.00      0  31        1         0
#> 83.1  24.00      0   6        0         0
#> 193   24.00      0  45        0         1
#> 33    24.00      0  53        0         0
#> 137   24.00      0  45        1         0
#> 22.1  24.00      0  52        1         0
#> 75    24.00      0  21        1         0
#> 160   24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 17    24.00      0  38        0         1
#> 9.1   24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 102.1 24.00      0  49        0         0
#> 109   24.00      0  48        0         0
#> 126   24.00      0  48        0         0
#> 141   24.00      0  44        1         0
#> 44    24.00      0  56        0         0
#> 80    24.00      0  41        0         0
#> 174   24.00      0  49        1         0
#> 74    24.00      0  43        0         1
#> 165   24.00      0  47        0         0
#> 120.2 24.00      0  68        0         1
#> 53    24.00      0  32        0         1
#> 67    24.00      0  25        0         0
#> 31    24.00      0  36        0         1
#> 28.3  24.00      0  67        1         0
#> 84    24.00      0  39        0         1
#> 28.4  24.00      0  67        1         0
#> 137.1 24.00      0  45        1         0
#> 62    24.00      0  71        0         0
#> 94    24.00      0  51        0         1
#> 72.1  24.00      0  40        0         1
#> 19    24.00      0  57        0         1
#> 62.1  24.00      0  71        0         0
#> 19.1  24.00      0  57        0         1
#> 165.1 24.00      0  47        0         0
#> 126.1 24.00      0  48        0         0
#> 198   24.00      0  66        0         1
#> 74.1  24.00      0  43        0         1
#> 2     24.00      0   9        0         0
#> 67.1  24.00      0  25        0         0
#> 3     24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 200   24.00      0  64        0         0
#> 84.1  24.00      0  39        0         1
#> 172   24.00      0  41        0         0
#> 87.1  24.00      0  27        0         0
#> 75.1  24.00      0  21        1         0
#> 75.2  24.00      0  21        1         0
#> 109.1 24.00      0  48        0         0
#> 198.1 24.00      0  66        0         1
#> 38    24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.289          NA        NA      NA
#> 2 age, Cure model          0.00457        NA        NA      NA
#> 3 grade_ii, Cure model     0.261          NA        NA      NA
#> 4 grade_iii, Cure model    0.616          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00409        NA        NA      NA
#> 2 grade_ii, Survival model   0.766          NA        NA      NA
#> 3 grade_iii, Survival model  0.358          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.289483          0.004569          0.261206          0.615734  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 259.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.289482856      0.004569356      0.261205858      0.615733806 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00408644       0.76556474       0.35778973 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.94727462 0.64667925 0.23533744 0.96251562 0.01487239 0.52204960
#>   [7] 0.91662923 0.44741119 0.75752748 0.97762107 0.62931518 0.99252587
#>  [13] 0.83098776 0.54988619 0.25603674 0.66411230 0.58621352 0.79919537
#>  [19] 0.62931518 0.48453825 0.38783030 0.79919537 0.91662923 0.33768538
#>  [25] 0.06445453 0.87793195 0.54063472 0.16408295 0.69823363 0.56811801
#>  [31] 0.36777288 0.18890142 0.85464104 0.89338087 0.11346896 0.58621352
#>  [37] 0.93203192 0.01487239 0.43779576 0.27701593 0.61205470 0.44741119
#>  [43] 0.95492255 0.66411230 0.15148843 0.79919537 0.77439480 0.74901889
#>  [49] 0.44741119 0.74052282 0.77439480 0.36777288 0.35768588 0.23533744
#>  [55] 0.68122625 0.33768538 0.68976978 0.84674037 0.96251562 0.97762107
#>  [61] 0.58621352 0.06445453 0.40827051 0.13909502 0.41845071 0.20119441
#>  [67] 0.16408295 0.47514226 0.79919537 0.76595646 0.25603674 0.39803432
#>  [73] 0.90886453 0.06445453 0.41845071 0.27701593 0.89338087 0.61205470
#>  [79] 0.11346896 0.72347719 0.21297154 0.69823363 0.69823363 0.30708281
#>  [85] 0.64667925 0.27701593 0.93203192 0.01487239 0.57717719 0.85464104
#>  [91] 0.04898955 0.79089475 0.53135919 0.21297154 0.10026197 0.54988619
#>  [97] 0.50334524 0.48453825 0.87793195 0.30708281 0.83098776 0.87015039
#> [103] 0.73201239 0.50334524 0.30708281 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    16     6    32    77    78   106    61   117    60    25   100    91   154 
#>  8.71 15.64 20.90  7.27 23.88 16.67 10.12 17.46 13.15  6.32 16.07  5.33 12.63 
#>   181    68   167    79   140 100.1    30   179 140.1  61.1   158   164   159 
#> 16.46 20.62 15.55 16.23 12.68 16.07 17.43 18.63 12.68 10.12 20.14 23.60 10.55 
#>   130   175   157   192    58   139    49    10   113  79.1   183  78.1   134 
#> 16.47 21.91 15.10 16.44 19.34 21.49 12.19 10.53 22.86 16.23  9.24 23.88 17.81 
#>   128   188 117.1    70 167.1    66 140.2   123    81 117.2    13 123.1  58.1 
#> 20.35 16.16 17.46  7.38 15.55 22.13 12.68 13.00 14.06 17.46 14.34 13.00 19.34 
#>   170  32.1    29 158.1    18    42  77.1  25.1  79.2 164.1   108    63    41 
#> 19.54 20.90 15.45 20.14 15.21 12.43  7.27  6.32 16.23 23.60 18.29 22.77 18.02 
#>   153 175.1   111 140.3   155  68.1     8    52 164.2  41.1 128.1  10.1 188.1 
#> 21.33 21.91 17.45 12.68 13.08 20.62 18.43 10.42 23.60 18.02 20.35 10.53 16.16 
#> 113.1   133    99 157.1 157.2   150   6.1 128.2 183.1  78.2     5  49.1    86 
#> 22.86 14.65 21.19 15.10 15.10 20.33 15.64 20.35  9.24 23.88 16.43 12.19 23.81 
#>    14   171  99.1    69 181.1    45  30.1 159.1 150.1 154.1    43    96  45.1 
#> 12.89 16.57 21.19 23.23 16.46 17.42 17.43 10.55 20.33 12.63 12.10 14.54 17.42 
#> 150.2   120    22    28  28.1   102   178   152    46   173   112   135  28.2 
#> 20.33 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143   148    64    20    34 112.1   196   182   191 196.1    48    65    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 120.1   186    95  34.1   122     9   147    72   142  48.1  83.1   193    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137  22.1    75   160    87    17   9.1    71 102.1   109   126   141    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80   174    74   165 120.2    53    67    31  28.3    84  28.4 137.1    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94  72.1    19  62.1  19.1 165.1 126.1   198  74.1     2  67.1     3     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200  84.1   172  87.1  75.1  75.2 109.1 198.1    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[50]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003958107               0.570474095               0.057135078 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.72859877              0.01417669              0.27034415 
#>   grade_iii, Cure model 
#>              0.59558244 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 39    15.59      1  37        0         1
#> 136   21.83      1  43        0         1
#> 166   19.98      1  48        0         0
#> 149    8.37      1  33        1         0
#> 18    15.21      1  49        1         0
#> 91     5.33      1  61        0         1
#> 37    12.52      1  57        1         0
#> 52    10.42      1  52        0         1
#> 69    23.23      1  25        0         1
#> 107   11.18      1  54        1         0
#> 154   12.63      1  20        1         0
#> 40    18.00      1  28        1         0
#> 130   16.47      1  53        0         1
#> 111   17.45      1  47        0         1
#> 195   11.76      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 139   21.49      1  63        1         0
#> 29    15.45      1  68        1         0
#> 14    12.89      1  21        0         0
#> 51    18.23      1  83        0         1
#> 85    16.44      1  36        0         0
#> 111.1 17.45      1  47        0         1
#> 59    10.16      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 57    14.46      1  45        0         1
#> 39.1  15.59      1  37        0         1
#> 187    9.92      1  39        1         0
#> 157   15.10      1  47        0         0
#> 195.1 11.76      1  NA        1         0
#> 69.1  23.23      1  25        0         1
#> 51.1  18.23      1  83        0         1
#> 157.1 15.10      1  47        0         0
#> 49    12.19      1  48        1         0
#> 133   14.65      1  57        0         0
#> 97    19.14      1  65        0         1
#> 43    12.10      1  61        0         1
#> 90    20.94      1  50        0         1
#> 106   16.67      1  49        1         0
#> 197   21.60      1  69        1         0
#> 113   22.86      1  34        0         0
#> 107.1 11.18      1  54        1         0
#> 124    9.73      1  NA        1         0
#> 187.1  9.92      1  39        1         0
#> 14.1  12.89      1  21        0         0
#> 164   23.60      1  76        0         1
#> 69.2  23.23      1  25        0         1
#> 29.1  15.45      1  68        1         0
#> 30    17.43      1  78        0         0
#> 36    21.19      1  48        0         1
#> 55    19.34      1  69        0         1
#> 43.1  12.10      1  61        0         1
#> 139.1 21.49      1  63        1         0
#> 177.1 12.53      1  75        0         0
#> 51.2  18.23      1  83        0         1
#> 78    23.88      1  43        0         0
#> 59.1  10.16      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 88    18.37      1  47        0         0
#> 14.2  12.89      1  21        0         0
#> 24    23.89      1  38        0         0
#> 129   23.41      1  53        1         0
#> 32    20.90      1  37        1         0
#> 76    19.22      1  54        0         1
#> 41    18.02      1  40        1         0
#> 153   21.33      1  55        1         0
#> 58    19.34      1  39        0         0
#> 99    21.19      1  38        0         1
#> 85.1  16.44      1  36        0         0
#> 5     16.43      1  51        0         1
#> 10    10.53      1  34        0         0
#> 187.2  9.92      1  39        1         0
#> 149.1  8.37      1  33        1         0
#> 13.1  14.34      1  54        0         1
#> 195.2 11.76      1  NA        1         0
#> 58.1  19.34      1  39        0         0
#> 43.2  12.10      1  61        0         1
#> 169   22.41      1  46        0         0
#> 110   17.56      1  65        0         1
#> 66    22.13      1  53        0         0
#> 10.1  10.53      1  34        0         0
#> 29.2  15.45      1  68        1         0
#> 175   21.91      1  43        0         0
#> 133.1 14.65      1  57        0         0
#> 106.1 16.67      1  49        1         0
#> 55.1  19.34      1  69        0         1
#> 15    22.68      1  48        0         0
#> 181   16.46      1  45        0         1
#> 136.1 21.83      1  43        0         1
#> 192   16.44      1  31        1         0
#> 113.1 22.86      1  34        0         0
#> 100   16.07      1  60        0         0
#> 49.1  12.19      1  48        1         0
#> 192.1 16.44      1  31        1         0
#> 170   19.54      1  43        0         1
#> 133.2 14.65      1  57        0         0
#> 164.1 23.60      1  76        0         1
#> 154.1 12.63      1  20        1         0
#> 56    12.21      1  60        0         0
#> 36.1  21.19      1  48        0         1
#> 26    15.77      1  49        0         1
#> 179   18.63      1  42        0         0
#> 88.1  18.37      1  47        0         0
#> 153.1 21.33      1  55        1         0
#> 56.1  12.21      1  60        0         0
#> 166.1 19.98      1  48        0         0
#> 110.1 17.56      1  65        0         1
#> 164.2 23.60      1  76        0         1
#> 18.1  15.21      1  49        1         0
#> 39.2  15.59      1  37        0         1
#> 40.1  18.00      1  28        1         0
#> 30.1  17.43      1  78        0         0
#> 106.2 16.67      1  49        1         0
#> 84    24.00      0  39        0         1
#> 200   24.00      0  64        0         0
#> 34    24.00      0  36        0         0
#> 11    24.00      0  42        0         1
#> 34.1  24.00      0  36        0         0
#> 87    24.00      0  27        0         0
#> 71    24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 141   24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 35    24.00      0  51        0         0
#> 122   24.00      0  66        0         0
#> 33    24.00      0  53        0         0
#> 135   24.00      0  58        1         0
#> 131   24.00      0  66        0         0
#> 118   24.00      0  44        1         0
#> 119   24.00      0  17        0         0
#> 17    24.00      0  38        0         1
#> 84.1  24.00      0  39        0         1
#> 146   24.00      0  63        1         0
#> 144   24.00      0  28        0         1
#> 27.1  24.00      0  63        1         0
#> 191   24.00      0  60        0         1
#> 109   24.00      0  48        0         0
#> 120   24.00      0  68        0         1
#> 2     24.00      0   9        0         0
#> 131.1 24.00      0  66        0         0
#> 141.1 24.00      0  44        1         0
#> 72    24.00      0  40        0         1
#> 146.1 24.00      0  63        1         0
#> 17.1  24.00      0  38        0         1
#> 35.1  24.00      0  51        0         0
#> 35.2  24.00      0  51        0         0
#> 112   24.00      0  61        0         0
#> 172   24.00      0  41        0         0
#> 19    24.00      0  57        0         1
#> 160   24.00      0  31        1         0
#> 143   24.00      0  51        0         0
#> 142   24.00      0  53        0         0
#> 62    24.00      0  71        0         0
#> 120.1 24.00      0  68        0         1
#> 173   24.00      0  19        0         1
#> 94    24.00      0  51        0         1
#> 35.3  24.00      0  51        0         0
#> 160.1 24.00      0  31        1         0
#> 160.2 24.00      0  31        1         0
#> 17.2  24.00      0  38        0         1
#> 172.1 24.00      0  41        0         0
#> 198   24.00      0  66        0         1
#> 135.1 24.00      0  58        1         0
#> 162   24.00      0  51        0         0
#> 143.1 24.00      0  51        0         0
#> 115.1 24.00      0  NA        1         0
#> 22    24.00      0  52        1         0
#> 82    24.00      0  34        0         0
#> 34.2  24.00      0  36        0         0
#> 34.3  24.00      0  36        0         0
#> 74    24.00      0  43        0         1
#> 82.1  24.00      0  34        0         0
#> 3     24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 137   24.00      0  45        1         0
#> 122.1 24.00      0  66        0         0
#> 84.2  24.00      0  39        0         1
#> 142.1 24.00      0  53        0         0
#> 132   24.00      0  55        0         0
#> 121   24.00      0  57        1         0
#> 161   24.00      0  45        0         0
#> 38    24.00      0  31        1         0
#> 160.3 24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 144.1 24.00      0  28        0         1
#> 2.1   24.00      0   9        0         0
#> 178.1 24.00      0  52        1         0
#> 12    24.00      0  63        0         0
#> 65    24.00      0  57        1         0
#> 71.1  24.00      0  51        0         0
#> 178.2 24.00      0  52        1         0
#> 84.3  24.00      0  39        0         1
#> 156   24.00      0  50        1         0
#> 148   24.00      0  61        1         0
#> 193   24.00      0  45        0         1
#> 161.1 24.00      0  45        0         0
#> 35.4  24.00      0  51        0         0
#> 72.1  24.00      0  40        0         1
#> 115.2 24.00      0  NA        1         0
#> 152   24.00      0  36        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.729         NA        NA      NA
#> 2 age, Cure model           0.0142        NA        NA      NA
#> 3 grade_ii, Cure model      0.270         NA        NA      NA
#> 4 grade_iii, Cure model     0.596         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00396        NA        NA      NA
#> 2 grade_ii, Survival model   0.570          NA        NA      NA
#> 3 grade_iii, Survival model  0.0571         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.72860           0.01418           0.27034           0.59558  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.5 
#> Residual Deviance: 257.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.72859877       0.01417669       0.27034415       0.59558244 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003958107      0.570474095      0.057135078 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.610205018 0.152268972 0.266732497 0.972866124 0.666423608 0.990918391
#>   [7] 0.825055073 0.936331021 0.066835348 0.899393752 0.787771020 0.419882014
#>  [13] 0.525343796 0.458198674 0.020341543 0.182836347 0.638531732 0.759637545
#>  [19] 0.380569630 0.544608528 0.458198674 0.806357691 0.731385964 0.610205018
#>  [25] 0.945635905 0.684912874 0.066835348 0.380569630 0.684912874 0.853113349
#>  [31] 0.703487281 0.341534662 0.871625427 0.247821332 0.497073836 0.172578919
#>  [37] 0.092852869 0.899393752 0.945635905 0.759637545 0.030534665 0.066835348
#>  [43] 0.638531732 0.477531138 0.220402167 0.294855917 0.871625427 0.182836347
#>  [49] 0.806357691 0.380569630 0.011310828 0.740820188 0.361075460 0.759637545
#>  [55] 0.003537612 0.056949527 0.257368605 0.331835318 0.409963863 0.201987641
#>  [61] 0.294855917 0.220402167 0.544608528 0.581615228 0.917838985 0.945635905
#>  [67] 0.972866124 0.740820188 0.294855917 0.871625427 0.121563357 0.438964458
#>  [73] 0.131660099 0.917838985 0.638531732 0.141905847 0.703487281 0.497073836
#>  [79] 0.294855917 0.111604692 0.534966278 0.152268972 0.544608528 0.092852869
#>  [85] 0.591117093 0.853113349 0.544608528 0.285354243 0.703487281 0.030534665
#>  [91] 0.787771020 0.834413422 0.220402167 0.600651359 0.351284243 0.361075460
#>  [97] 0.201987641 0.834413422 0.266732497 0.438964458 0.030534665 0.666423608
#> [103] 0.610205018 0.419882014 0.477531138 0.497073836 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    39   136   166   149    18    91    37    52    69   107   154    40   130 
#> 15.59 21.83 19.98  8.37 15.21  5.33 12.52 10.42 23.23 11.18 12.63 18.00 16.47 
#>   111   168   139    29    14    51    85 111.1   177    57  39.1   187   157 
#> 17.45 23.72 21.49 15.45 12.89 18.23 16.44 17.45 12.53 14.46 15.59  9.92 15.10 
#>  69.1  51.1 157.1    49   133    97    43    90   106   197   113 107.1 187.1 
#> 23.23 18.23 15.10 12.19 14.65 19.14 12.10 20.94 16.67 21.60 22.86 11.18  9.92 
#>  14.1   164  69.2  29.1    30    36    55  43.1 139.1 177.1  51.2    78    13 
#> 12.89 23.60 23.23 15.45 17.43 21.19 19.34 12.10 21.49 12.53 18.23 23.88 14.34 
#>    88  14.2    24   129    32    76    41   153    58    99  85.1     5    10 
#> 18.37 12.89 23.89 23.41 20.90 19.22 18.02 21.33 19.34 21.19 16.44 16.43 10.53 
#> 187.2 149.1  13.1  58.1  43.2   169   110    66  10.1  29.2   175 133.1 106.1 
#>  9.92  8.37 14.34 19.34 12.10 22.41 17.56 22.13 10.53 15.45 21.91 14.65 16.67 
#>  55.1    15   181 136.1   192 113.1   100  49.1 192.1   170 133.2 164.1 154.1 
#> 19.34 22.68 16.46 21.83 16.44 22.86 16.07 12.19 16.44 19.54 14.65 23.60 12.63 
#>    56  36.1    26   179  88.1 153.1  56.1 166.1 110.1 164.2  18.1  39.2  40.1 
#> 12.21 21.19 15.77 18.63 18.37 21.33 12.21 19.98 17.56 23.60 15.21 15.59 18.00 
#>  30.1 106.2    84   200    34    11  34.1    87    71    27   141    48    35 
#> 17.43 16.67 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122    33   135   131   118   119    17  84.1   146   144  27.1   191   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120     2 131.1 141.1    72 146.1  17.1  35.1  35.2   112   172    19   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143   142    62 120.1   173    94  35.3 160.1 160.2  17.2 172.1   198 135.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162 143.1    22    82  34.2  34.3    74  82.1     3   178   137 122.1  84.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 142.1   132   121   161    38 160.3   104 144.1   2.1 178.1    12    65  71.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 178.2  84.3   156   148   193 161.1  35.4  72.1   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[51]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01689042                0.37866783                0.16797555 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.06012118              0.01604637              0.69576866 
#>   grade_iii, Cure model 
#>              0.82992446 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 56    12.21      1  60        0         0
#> 139   21.49      1  63        1         0
#> 113   22.86      1  34        0         0
#> 93    10.33      1  52        0         1
#> 180   14.82      1  37        0         0
#> 134   17.81      1  47        1         0
#> 195   11.76      1  NA        1         0
#> 187    9.92      1  39        1         0
#> 97    19.14      1  65        0         1
#> 42    12.43      1  49        0         1
#> 92    22.92      1  47        0         1
#> 129   23.41      1  53        1         0
#> 76    19.22      1  54        0         1
#> 157   15.10      1  47        0         0
#> 81    14.06      1  34        0         0
#> 97.1  19.14      1  65        0         1
#> 136   21.83      1  43        0         1
#> 197   21.60      1  69        1         0
#> 55    19.34      1  69        0         1
#> 150   20.33      1  48        0         0
#> 52    10.42      1  52        0         1
#> 164   23.60      1  76        0         1
#> 166   19.98      1  48        0         0
#> 154   12.63      1  20        1         0
#> 36    21.19      1  48        0         1
#> 134.1 17.81      1  47        1         0
#> 164.1 23.60      1  76        0         1
#> 70     7.38      1  30        1         0
#> 29    15.45      1  68        1         0
#> 168   23.72      1  70        0         0
#> 170   19.54      1  43        0         1
#> 183    9.24      1  67        1         0
#> 124    9.73      1  NA        1         0
#> 92.1  22.92      1  47        0         1
#> 70.1   7.38      1  30        1         0
#> 190   20.81      1  42        1         0
#> 155   13.08      1  26        0         0
#> 76.1  19.22      1  54        0         1
#> 63    22.77      1  31        1         0
#> 114   13.68      1  NA        0         0
#> 86    23.81      1  58        0         1
#> 194   22.40      1  38        0         1
#> 190.1 20.81      1  42        1         0
#> 61    10.12      1  36        0         1
#> 39    15.59      1  37        0         1
#> 40    18.00      1  28        1         0
#> 78    23.88      1  43        0         0
#> 139.1 21.49      1  63        1         0
#> 108   18.29      1  39        0         1
#> 149    8.37      1  33        1         0
#> 99    21.19      1  38        0         1
#> 158   20.14      1  74        1         0
#> 157.1 15.10      1  47        0         0
#> 127    3.53      1  62        0         1
#> 59    10.16      1  NA        1         0
#> 168.1 23.72      1  70        0         0
#> 45    17.42      1  54        0         1
#> 183.1  9.24      1  67        1         0
#> 189   10.51      1  NA        1         0
#> 14    12.89      1  21        0         0
#> 43    12.10      1  61        0         1
#> 76.2  19.22      1  54        0         1
#> 26    15.77      1  49        0         1
#> 136.1 21.83      1  43        0         1
#> 194.1 22.40      1  38        0         1
#> 129.1 23.41      1  53        1         0
#> 18    15.21      1  49        1         0
#> 30    17.43      1  78        0         0
#> 157.2 15.10      1  47        0         0
#> 5     16.43      1  51        0         1
#> 14.1  12.89      1  21        0         0
#> 92.2  22.92      1  47        0         1
#> 197.1 21.60      1  69        1         0
#> 184   17.77      1  38        0         0
#> 59.1  10.16      1  NA        1         0
#> 192   16.44      1  31        1         0
#> 78.1  23.88      1  43        0         0
#> 37    12.52      1  57        1         0
#> 56.1  12.21      1  60        0         0
#> 5.1   16.43      1  51        0         1
#> 59.2  10.16      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 57    14.46      1  45        0         1
#> 10    10.53      1  34        0         0
#> 101    9.97      1  10        0         1
#> 123   13.00      1  44        1         0
#> 23    16.92      1  61        0         0
#> 76.3  19.22      1  54        0         1
#> 149.1  8.37      1  33        1         0
#> 149.2  8.37      1  33        1         0
#> 140   12.68      1  59        1         0
#> 167   15.55      1  56        1         0
#> 30.1  17.43      1  78        0         0
#> 140.1 12.68      1  59        1         0
#> 58    19.34      1  39        0         0
#> 91     5.33      1  61        0         1
#> 99.1  21.19      1  38        0         1
#> 13    14.34      1  54        0         1
#> 32    20.90      1  37        1         0
#> 154.1 12.63      1  20        1         0
#> 6     15.64      1  39        0         0
#> 158.1 20.14      1  74        1         0
#> 32.1  20.90      1  37        1         0
#> 40.1  18.00      1  28        1         0
#> 166.1 19.98      1  48        0         0
#> 96    14.54      1  33        0         1
#> 77     7.27      1  67        0         1
#> 150.1 20.33      1  48        0         0
#> 140.2 12.68      1  59        1         0
#> 61.1  10.12      1  36        0         1
#> 10.1  10.53      1  34        0         0
#> 52.1  10.42      1  52        0         1
#> 161   24.00      0  45        0         0
#> 80    24.00      0  41        0         0
#> 7     24.00      0  37        1         0
#> 71    24.00      0  51        0         0
#> 82    24.00      0  34        0         0
#> 34    24.00      0  36        0         0
#> 115   24.00      0  NA        1         0
#> 82.1  24.00      0  34        0         0
#> 44    24.00      0  56        0         0
#> 11    24.00      0  42        0         1
#> 160   24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 27    24.00      0  63        1         0
#> 161.1 24.00      0  45        0         0
#> 31    24.00      0  36        0         1
#> 193   24.00      0  45        0         1
#> 27.1  24.00      0  63        1         0
#> 193.1 24.00      0  45        0         1
#> 148   24.00      0  61        1         0
#> 84    24.00      0  39        0         1
#> 152   24.00      0  36        0         1
#> 80.1  24.00      0  41        0         0
#> 53    24.00      0  32        0         1
#> 116   24.00      0  58        0         1
#> 35    24.00      0  51        0         0
#> 173   24.00      0  19        0         1
#> 94    24.00      0  51        0         1
#> 80.2  24.00      0  41        0         0
#> 104   24.00      0  50        1         0
#> 67    24.00      0  25        0         0
#> 64    24.00      0  43        0         0
#> 193.2 24.00      0  45        0         1
#> 3     24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 142   24.00      0  53        0         0
#> 28    24.00      0  67        1         0
#> 98    24.00      0  34        1         0
#> 119   24.00      0  17        0         0
#> 7.1   24.00      0  37        1         0
#> 31.1  24.00      0  36        0         1
#> 11.1  24.00      0  42        0         1
#> 53.1  24.00      0  32        0         1
#> 35.1  24.00      0  51        0         0
#> 191   24.00      0  60        0         1
#> 20    24.00      0  46        1         0
#> 87    24.00      0  27        0         0
#> 20.1  24.00      0  46        1         0
#> 33    24.00      0  53        0         0
#> 162   24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 161.2 24.00      0  45        0         0
#> 146   24.00      0  63        1         0
#> 176   24.00      0  43        0         1
#> 165   24.00      0  47        0         0
#> 87.1  24.00      0  27        0         0
#> 3.1   24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 143   24.00      0  51        0         0
#> 132   24.00      0  55        0         0
#> 33.1  24.00      0  53        0         0
#> 71.1  24.00      0  51        0         0
#> 20.2  24.00      0  46        1         0
#> 31.2  24.00      0  36        0         1
#> 82.2  24.00      0  34        0         0
#> 7.2   24.00      0  37        1         0
#> 34.1  24.00      0  36        0         0
#> 22    24.00      0  52        1         0
#> 19    24.00      0  57        0         1
#> 46    24.00      0  71        0         0
#> 53.2  24.00      0  32        0         1
#> 9     24.00      0  31        1         0
#> 148.1 24.00      0  61        1         0
#> 147   24.00      0  76        1         0
#> 165.1 24.00      0  47        0         0
#> 119.1 24.00      0  17        0         0
#> 200   24.00      0  64        0         0
#> 19.1  24.00      0  57        0         1
#> 80.3  24.00      0  41        0         0
#> 33.2  24.00      0  53        0         0
#> 38    24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 67.1  24.00      0  25        0         0
#> 191.1 24.00      0  60        0         1
#> 120.1 24.00      0  68        0         1
#> 172.1 24.00      0  41        0         0
#> 98.1  24.00      0  34        1         0
#> 174   24.00      0  49        1         0
#> 121   24.00      0  57        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.06          NA        NA      NA
#> 2 age, Cure model           0.0160        NA        NA      NA
#> 3 grade_ii, Cure model      0.696         NA        NA      NA
#> 4 grade_iii, Cure model     0.830         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0169        NA        NA      NA
#> 2 grade_ii, Survival model    0.379         NA        NA      NA
#> 3 grade_iii, Survival model   0.168         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.06012           0.01605           0.69577           0.82992  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.5 
#> Residual Deviance: 255.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.06012118       0.01604637       0.69576866       0.82992446 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01689042       0.37866783       0.16797555 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 6.565454e-01 4.850436e-02 1.844525e-02 7.601340e-01 4.433284e-01
#>   [6] 2.392517e-01 8.224041e-01 1.948728e-01 6.423811e-01 1.066663e-02
#>  [11] 6.364599e-03 1.631797e-01 4.074314e-01 4.940048e-01 1.948728e-01
#>  [16] 3.215368e-02 3.987259e-02 1.481063e-01 1.013956e-01 7.297981e-01
#>  [21] 3.017680e-03 1.268495e-01 6.009165e-01 6.310636e-02 2.392517e-01
#>  [26] 3.017680e-03 9.178513e-01 3.840564e-01 1.123739e-03 1.407935e-01
#>  [31] 8.381760e-01 1.066663e-02 9.178513e-01 8.986141e-02 5.070615e-01
#>  [36] 1.631797e-01 2.176604e-02 5.533328e-04 2.515753e-02 8.986141e-02
#>  [41] 7.756150e-01 3.613282e-01 2.213772e-01 7.000504e-05 4.850436e-02
#>  [46] 2.123195e-01 8.700518e-01 6.310636e-02 1.137084e-01 4.074314e-01
#>  [51] 9.832138e-01 1.123739e-03 2.867694e-01 8.381760e-01 5.335189e-01
#>  [56] 6.853516e-01 1.631797e-01 3.391748e-01 3.215368e-02 2.515753e-02
#>  [61] 6.364599e-03 3.956815e-01 2.670950e-01 4.074314e-01 3.178748e-01
#>  [66] 5.335189e-01 1.066663e-02 3.987259e-02 2.575922e-01 3.073975e-01
#>  [71] 7.000504e-05 6.283661e-01 6.565454e-01 3.178748e-01 5.797472e-02
#>  [76] 4.683688e-01 7.000903e-01 8.067057e-01 5.202388e-01 2.969683e-01
#>  [81] 1.631797e-01 8.700518e-01 8.700518e-01 5.601394e-01 3.726173e-01
#>  [86] 2.670950e-01 5.601394e-01 1.481063e-01 9.665936e-01 6.310636e-02
#>  [91] 4.810972e-01 7.873094e-02 6.009165e-01 3.501670e-01 1.137084e-01
#>  [96] 7.873094e-02 2.213772e-01 1.268495e-01 4.557931e-01 9.501368e-01
#> [101] 1.013956e-01 5.601394e-01 7.756150e-01 7.000903e-01 7.297981e-01
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [191] 0.000000e+00 0.000000e+00
#> 
#> $Time
#>    56   139   113    93   180   134   187    97    42    92   129    76   157 
#> 12.21 21.49 22.86 10.33 14.82 17.81  9.92 19.14 12.43 22.92 23.41 19.22 15.10 
#>    81  97.1   136   197    55   150    52   164   166   154    36 134.1 164.1 
#> 14.06 19.14 21.83 21.60 19.34 20.33 10.42 23.60 19.98 12.63 21.19 17.81 23.60 
#>    70    29   168   170   183  92.1  70.1   190   155  76.1    63    86   194 
#>  7.38 15.45 23.72 19.54  9.24 22.92  7.38 20.81 13.08 19.22 22.77 23.81 22.40 
#> 190.1    61    39    40    78 139.1   108   149    99   158 157.1   127 168.1 
#> 20.81 10.12 15.59 18.00 23.88 21.49 18.29  8.37 21.19 20.14 15.10  3.53 23.72 
#>    45 183.1    14    43  76.2    26 136.1 194.1 129.1    18    30 157.2     5 
#> 17.42  9.24 12.89 12.10 19.22 15.77 21.83 22.40 23.41 15.21 17.43 15.10 16.43 
#>  14.1  92.2 197.1   184   192  78.1    37  56.1   5.1   153    57    10   101 
#> 12.89 22.92 21.60 17.77 16.44 23.88 12.52 12.21 16.43 21.33 14.46 10.53  9.97 
#>   123    23  76.3 149.1 149.2   140   167  30.1 140.1    58    91  99.1    13 
#> 13.00 16.92 19.22  8.37  8.37 12.68 15.55 17.43 12.68 19.34  5.33 21.19 14.34 
#>    32 154.1     6 158.1  32.1  40.1 166.1    96    77 150.1 140.2  61.1  10.1 
#> 20.90 12.63 15.64 20.14 20.90 18.00 19.98 14.54  7.27 20.33 12.68 10.12 10.53 
#>  52.1   161    80     7    71    82    34  82.1    44    11   160   109    27 
#> 10.42 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.1    31   193  27.1 193.1   148    84   152  80.1    53   116    35   173 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94  80.2   104    67    64 193.2     3   172   142    28    98   119   7.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  31.1  11.1  53.1  35.1   191    20    87  20.1    33   162   185 161.2   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176   165  87.1   3.1   120   143   132  33.1  71.1  20.2  31.2  82.2   7.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.1    22    19    46  53.2     9 148.1   147 165.1 119.1   200  19.1  80.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.2    38    47  67.1 191.1 120.1 172.1  98.1   174   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[52]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.008995778               0.523250133               0.567072598 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.693367882             0.009625798             0.102417881 
#>   grade_iii, Cure model 
#>             1.271254276 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 52    10.42      1  52        0         1
#> 183    9.24      1  67        1         0
#> 55    19.34      1  69        0         1
#> 179   18.63      1  42        0         0
#> 66    22.13      1  53        0         0
#> 51    18.23      1  83        0         1
#> 63    22.77      1  31        1         0
#> 89    11.44      1  NA        0         0
#> 91     5.33      1  61        0         1
#> 190   20.81      1  42        1         0
#> 123   13.00      1  44        1         0
#> 76    19.22      1  54        0         1
#> 123.1 13.00      1  44        1         0
#> 101    9.97      1  10        0         1
#> 85    16.44      1  36        0         0
#> 133   14.65      1  57        0         0
#> 89.1  11.44      1  NA        0         0
#> 197   21.60      1  69        1         0
#> 93    10.33      1  52        0         1
#> 15    22.68      1  48        0         0
#> 29    15.45      1  68        1         0
#> 63.1  22.77      1  31        1         0
#> 45    17.42      1  54        0         1
#> 180   14.82      1  37        0         0
#> 96    14.54      1  33        0         1
#> 149    8.37      1  33        1         0
#> 171   16.57      1  41        0         1
#> 114   13.68      1  NA        0         0
#> 136   21.83      1  43        0         1
#> 107   11.18      1  54        1         0
#> 88    18.37      1  47        0         0
#> 18    15.21      1  49        1         0
#> 25     6.32      1  34        1         0
#> 40    18.00      1  28        1         0
#> 13    14.34      1  54        0         1
#> 195   11.76      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 181   16.46      1  45        0         1
#> 154   12.63      1  20        1         0
#> 134   17.81      1  47        1         0
#> 81    14.06      1  34        0         0
#> 13.1  14.34      1  54        0         1
#> 170   19.54      1  43        0         1
#> 197.1 21.60      1  69        1         0
#> 8     18.43      1  32        0         0
#> 117   17.46      1  26        0         1
#> 188   16.16      1  46        0         1
#> 55.1  19.34      1  69        0         1
#> 79    16.23      1  54        1         0
#> 89.2  11.44      1  NA        0         0
#> 153   21.33      1  55        1         0
#> 57    14.46      1  45        0         1
#> 63.2  22.77      1  31        1         0
#> 101.1  9.97      1  10        0         1
#> 166   19.98      1  48        0         0
#> 26    15.77      1  49        0         1
#> 127    3.53      1  62        0         1
#> 188.1 16.16      1  46        0         1
#> 79.1  16.23      1  54        1         0
#> 114.1 13.68      1  NA        0         0
#> 76.1  19.22      1  54        0         1
#> 24    23.89      1  38        0         0
#> 81.1  14.06      1  34        0         0
#> 123.2 13.00      1  44        1         0
#> 114.2 13.68      1  NA        0         0
#> 59    10.16      1  NA        1         0
#> 57.1  14.46      1  45        0         1
#> 139   21.49      1  63        1         0
#> 4     17.64      1  NA        0         1
#> 106   16.67      1  49        1         0
#> 88.1  18.37      1  47        0         0
#> 30    17.43      1  78        0         0
#> 4.1   17.64      1  NA        0         1
#> 189   10.51      1  NA        1         0
#> 197.2 21.60      1  69        1         0
#> 164   23.60      1  76        0         1
#> 36    21.19      1  48        0         1
#> 169   22.41      1  46        0         0
#> 145   10.07      1  65        1         0
#> 188.2 16.16      1  46        0         1
#> 127.1  3.53      1  62        0         1
#> 113   22.86      1  34        0         0
#> 159   10.55      1  50        0         1
#> 166.1 19.98      1  48        0         0
#> 140   12.68      1  59        1         0
#> 187    9.92      1  39        1         0
#> 169.1 22.41      1  46        0         0
#> 16     8.71      1  71        0         1
#> 113.1 22.86      1  34        0         0
#> 125.1 15.65      1  67        1         0
#> 157   15.10      1  47        0         0
#> 30.1  17.43      1  78        0         0
#> 6     15.64      1  39        0         0
#> 145.1 10.07      1  65        1         0
#> 164.1 23.60      1  76        0         1
#> 117.1 17.46      1  26        0         1
#> 61    10.12      1  36        0         1
#> 92    22.92      1  47        0         1
#> 153.1 21.33      1  55        1         0
#> 100   16.07      1  60        0         0
#> 188.3 16.16      1  46        0         1
#> 59.1  10.16      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 70     7.38      1  30        1         0
#> 105   19.75      1  60        0         0
#> 184   17.77      1  38        0         0
#> 181.1 16.46      1  45        0         1
#> 58    19.34      1  39        0         0
#> 189.1 10.51      1  NA        1         0
#> 55.2  19.34      1  69        0         1
#> 49    12.19      1  48        1         0
#> 42    12.43      1  49        0         1
#> 148   24.00      0  61        1         0
#> 64    24.00      0  43        0         0
#> 137   24.00      0  45        1         0
#> 3     24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 109   24.00      0  48        0         0
#> 174   24.00      0  49        1         0
#> 120   24.00      0  68        0         1
#> 2     24.00      0   9        0         0
#> 156   24.00      0  50        1         0
#> 162   24.00      0  51        0         0
#> 121   24.00      0  57        1         0
#> 48    24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 116   24.00      0  58        0         1
#> 20    24.00      0  46        1         0
#> 27    24.00      0  63        1         0
#> 98    24.00      0  34        1         0
#> 73    24.00      0  NA        0         1
#> 147   24.00      0  76        1         0
#> 146   24.00      0  63        1         0
#> 186   24.00      0  45        1         0
#> 82    24.00      0  34        0         0
#> 121.1 24.00      0  57        1         0
#> 65    24.00      0  57        1         0
#> 132   24.00      0  55        0         0
#> 182   24.00      0  35        0         0
#> 48.1  24.00      0  31        1         0
#> 162.1 24.00      0  51        0         0
#> 122   24.00      0  66        0         0
#> 196   24.00      0  19        0         0
#> 141   24.00      0  44        1         0
#> 11    24.00      0  42        0         1
#> 104.1 24.00      0  50        1         0
#> 174.1 24.00      0  49        1         0
#> 11.1  24.00      0  42        0         1
#> 185   24.00      0  44        1         0
#> 104.2 24.00      0  50        1         0
#> 112   24.00      0  61        0         0
#> 44    24.00      0  56        0         0
#> 200   24.00      0  64        0         0
#> 147.1 24.00      0  76        1         0
#> 28    24.00      0  67        1         0
#> 82.1  24.00      0  34        0         0
#> 33    24.00      0  53        0         0
#> 2.1   24.00      0   9        0         0
#> 115   24.00      0  NA        1         0
#> 172   24.00      0  41        0         0
#> 182.1 24.00      0  35        0         0
#> 163   24.00      0  66        0         0
#> 172.1 24.00      0  41        0         0
#> 147.2 24.00      0  76        1         0
#> 196.1 24.00      0  19        0         0
#> 151   24.00      0  42        0         0
#> 53    24.00      0  32        0         1
#> 7     24.00      0  37        1         0
#> 103   24.00      0  56        1         0
#> 165   24.00      0  47        0         0
#> 65.1  24.00      0  57        1         0
#> 19    24.00      0  57        0         1
#> 7.1   24.00      0  37        1         0
#> 71    24.00      0  51        0         0
#> 53.1  24.00      0  32        0         1
#> 74    24.00      0  43        0         1
#> 11.2  24.00      0  42        0         1
#> 156.1 24.00      0  50        1         0
#> 44.1  24.00      0  56        0         0
#> 182.2 24.00      0  35        0         0
#> 182.3 24.00      0  35        0         0
#> 9     24.00      0  31        1         0
#> 162.2 24.00      0  51        0         0
#> 112.1 24.00      0  61        0         0
#> 119   24.00      0  17        0         0
#> 186.1 24.00      0  45        1         0
#> 198   24.00      0  66        0         1
#> 191   24.00      0  60        0         1
#> 185.1 24.00      0  44        1         0
#> 35    24.00      0  51        0         0
#> 38    24.00      0  31        1         0
#> 65.2  24.00      0  57        1         0
#> 98.1  24.00      0  34        1         0
#> 73.1  24.00      0  NA        0         1
#> 152   24.00      0  36        0         1
#> 64.1  24.00      0  43        0         0
#> 7.2   24.00      0  37        1         0
#> 34    24.00      0  36        0         0
#> 94    24.00      0  51        0         1
#> 94.1  24.00      0  51        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.693          NA        NA      NA
#> 2 age, Cure model          0.00963        NA        NA      NA
#> 3 grade_ii, Cure model     0.102          NA        NA      NA
#> 4 grade_iii, Cure model    1.27           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00900        NA        NA      NA
#> 2 grade_ii, Survival model   0.523          NA        NA      NA
#> 3 grade_iii, Survival model  0.567          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.693368          0.009626          0.102418          1.271254  
#> 
#> Degrees of Freedom: 183 Total (i.e. Null);  180 Residual
#> Null Deviance:	    254 
#> Residual Deviance: 240 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.693367882      0.009625798      0.102417881      1.271254276 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.008995778      0.523250133      0.567072598 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.837142346 0.919124195 0.247713360 0.306699582 0.110849714 0.348295510
#>   [7] 0.059478684 0.969834473 0.197846754 0.743615225 0.286643463 0.743615225
#>  [13] 0.888710308 0.494801634 0.659841424 0.130754263 0.847505794 0.083167009
#>  [19] 0.617905400 0.059478684 0.442511892 0.649295366 0.670455537 0.939472496
#>  [25] 0.463660375 0.120882627 0.816372402 0.327394947 0.628358954 0.959741436
#>  [31] 0.358960892 0.701865465 0.586872794 0.474171521 0.785133891 0.369528417
#>  [37] 0.722660884 0.701865465 0.237544311 0.130754263 0.317005010 0.390685100
#>  [43] 0.526009642 0.247713360 0.505287634 0.168725700 0.681017778 0.059478684
#>  [49] 0.888710308 0.207602050 0.576511894 0.979925569 0.526009642 0.505287634
#>  [55] 0.286643463 0.003353253 0.722660884 0.743615225 0.681017778 0.158755413
#>  [61] 0.453096733 0.327394947 0.421553478 0.130754263 0.013700955 0.188015693
#>  [67] 0.092299188 0.868172000 0.526009642 0.979925569 0.040240729 0.826765489
#>  [73] 0.207602050 0.774647463 0.908962486 0.092299188 0.929294495 0.040240729
#>  [79] 0.586872794 0.638797585 0.421553478 0.607466802 0.868172000 0.013700955
#>  [85] 0.390685100 0.857856032 0.030586878 0.168725700 0.566125877 0.526009642
#>  [91] 0.411203550 0.949622560 0.227288623 0.380064129 0.474171521 0.247713360
#>  [97] 0.247713360 0.805974262 0.795563261 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    52   183    55   179    66    51    63    91   190   123    76 123.1   101 
#> 10.42  9.24 19.34 18.63 22.13 18.23 22.77  5.33 20.81 13.00 19.22 13.00  9.97 
#>    85   133   197    93    15    29  63.1    45   180    96   149   171   136 
#> 16.44 14.65 21.60 10.33 22.68 15.45 22.77 17.42 14.82 14.54  8.37 16.57 21.83 
#>   107    88    18    25    40    13   125   181   154   134    81  13.1   170 
#> 11.18 18.37 15.21  6.32 18.00 14.34 15.65 16.46 12.63 17.81 14.06 14.34 19.54 
#> 197.1     8   117   188  55.1    79   153    57  63.2 101.1   166    26   127 
#> 21.60 18.43 17.46 16.16 19.34 16.23 21.33 14.46 22.77  9.97 19.98 15.77  3.53 
#> 188.1  79.1  76.1    24  81.1 123.2  57.1   139   106  88.1    30 197.2   164 
#> 16.16 16.23 19.22 23.89 14.06 13.00 14.46 21.49 16.67 18.37 17.43 21.60 23.60 
#>    36   169   145 188.2 127.1   113   159 166.1   140   187 169.1    16 113.1 
#> 21.19 22.41 10.07 16.16  3.53 22.86 10.55 19.98 12.68  9.92 22.41  8.71 22.86 
#> 125.1   157  30.1     6 145.1 164.1 117.1    61    92 153.1   100 188.3   111 
#> 15.65 15.10 17.43 15.64 10.07 23.60 17.46 10.12 22.92 21.33 16.07 16.16 17.45 
#>    70   105   184 181.1    58  55.2    49    42   148    64   137     3   104 
#>  7.38 19.75 17.77 16.46 19.34 19.34 12.19 12.43 24.00 24.00 24.00 24.00 24.00 
#>   109   174   120     2   156   162   121    48    87   116    20    27    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147   146   186    82 121.1    65   132   182  48.1 162.1   122   196   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11 104.1 174.1  11.1   185 104.2   112    44   200 147.1    28  82.1    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   2.1   172 182.1   163 172.1 147.2 196.1   151    53     7   103   165  65.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19   7.1    71  53.1    74  11.2 156.1  44.1 182.2 182.3     9 162.2 112.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119 186.1   198   191 185.1    35    38  65.2  98.1   152  64.1   7.2    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94  94.1 
#> 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[53]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01124816                0.36001967                0.36022915 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.009723017             0.001138190            -0.211904008 
#>   grade_iii, Cure model 
#>             0.653727791 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 123   13.00      1  44        1         0
#> 164   23.60      1  76        0         1
#> 13    14.34      1  54        0         1
#> 88    18.37      1  47        0         0
#> 79    16.23      1  54        1         0
#> 128   20.35      1  35        0         1
#> 29    15.45      1  68        1         0
#> 133   14.65      1  57        0         0
#> 92    22.92      1  47        0         1
#> 43    12.10      1  61        0         1
#> 179   18.63      1  42        0         0
#> 114   13.68      1  NA        0         0
#> 45    17.42      1  54        0         1
#> 76    19.22      1  54        0         1
#> 15    22.68      1  48        0         0
#> 52    10.42      1  52        0         1
#> 6     15.64      1  39        0         0
#> 55    19.34      1  69        0         1
#> 39    15.59      1  37        0         1
#> 155   13.08      1  26        0         0
#> 88.1  18.37      1  47        0         0
#> 79.1  16.23      1  54        1         0
#> 16     8.71      1  71        0         1
#> 77     7.27      1  67        0         1
#> 127    3.53      1  62        0         1
#> 61    10.12      1  36        0         1
#> 106   16.67      1  49        1         0
#> 187    9.92      1  39        1         0
#> 134   17.81      1  47        1         0
#> 91     5.33      1  61        0         1
#> 93    10.33      1  52        0         1
#> 24    23.89      1  38        0         0
#> 180   14.82      1  37        0         0
#> 5     16.43      1  51        0         1
#> 199   19.81      1  NA        0         1
#> 32    20.90      1  37        1         0
#> 117   17.46      1  26        0         1
#> 61.1  10.12      1  36        0         1
#> 124    9.73      1  NA        1         0
#> 79.2  16.23      1  54        1         0
#> 188   16.16      1  46        0         1
#> 68    20.62      1  44        0         0
#> 124.1  9.73      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 129   23.41      1  53        1         0
#> 107   11.18      1  54        1         0
#> 70     7.38      1  30        1         0
#> 37    12.52      1  57        1         0
#> 150   20.33      1  48        0         0
#> 133.1 14.65      1  57        0         0
#> 63    22.77      1  31        1         0
#> 179.1 18.63      1  42        0         0
#> 170   19.54      1  43        0         1
#> 130   16.47      1  53        0         1
#> 88.2  18.37      1  47        0         0
#> 195   11.76      1  NA        1         0
#> 91.1   5.33      1  61        0         1
#> 177.1 12.53      1  75        0         0
#> 29.1  15.45      1  68        1         0
#> 91.2   5.33      1  61        0         1
#> 81    14.06      1  34        0         0
#> 23    16.92      1  61        0         0
#> 86    23.81      1  58        0         1
#> 85    16.44      1  36        0         0
#> 99    21.19      1  38        0         1
#> 18    15.21      1  49        1         0
#> 169   22.41      1  46        0         0
#> 45.1  17.42      1  54        0         1
#> 25     6.32      1  34        1         0
#> 113   22.86      1  34        0         0
#> 149    8.37      1  33        1         0
#> 100   16.07      1  60        0         0
#> 8     18.43      1  32        0         0
#> 42    12.43      1  49        0         1
#> 29.2  15.45      1  68        1         0
#> 8.1   18.43      1  32        0         0
#> 93.1  10.33      1  52        0         1
#> 29.3  15.45      1  68        1         0
#> 90    20.94      1  50        0         1
#> 96    14.54      1  33        0         1
#> 149.1  8.37      1  33        1         0
#> 99.1  21.19      1  38        0         1
#> 110   17.56      1  65        0         1
#> 145   10.07      1  65        1         0
#> 180.1 14.82      1  37        0         0
#> 24.1  23.89      1  38        0         0
#> 197   21.60      1  69        1         0
#> 13.1  14.34      1  54        0         1
#> 26    15.77      1  49        0         1
#> 23.1  16.92      1  61        0         0
#> 117.1 17.46      1  26        0         1
#> 6.1   15.64      1  39        0         0
#> 167   15.55      1  56        1         0
#> 40    18.00      1  28        1         0
#> 188.1 16.16      1  46        0         1
#> 127.1  3.53      1  62        0         1
#> 32.1  20.90      1  37        1         0
#> 190   20.81      1  42        1         0
#> 49    12.19      1  48        1         0
#> 140   12.68      1  59        1         0
#> 59    10.16      1  NA        1         0
#> 192   16.44      1  31        1         0
#> 85.1  16.44      1  36        0         0
#> 63.1  22.77      1  31        1         0
#> 85.2  16.44      1  36        0         0
#> 181   16.46      1  45        0         1
#> 24.2  23.89      1  38        0         0
#> 194   22.40      1  38        0         1
#> 61.2  10.12      1  36        0         1
#> 66    22.13      1  53        0         0
#> 56    12.21      1  60        0         0
#> 129.1 23.41      1  53        1         0
#> 147   24.00      0  76        1         0
#> 84    24.00      0  39        0         1
#> 161   24.00      0  45        0         0
#> 20    24.00      0  46        1         0
#> 151   24.00      0  42        0         0
#> 53    24.00      0  32        0         1
#> 103   24.00      0  56        1         0
#> 126   24.00      0  48        0         0
#> 28    24.00      0  67        1         0
#> 64    24.00      0  43        0         0
#> 120   24.00      0  68        0         1
#> 185   24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 75    24.00      0  21        1         0
#> 138   24.00      0  44        1         0
#> 94    24.00      0  51        0         1
#> 193   24.00      0  45        0         1
#> 33    24.00      0  53        0         0
#> 46    24.00      0  71        0         0
#> 146   24.00      0  63        1         0
#> 22    24.00      0  52        1         0
#> 120.1 24.00      0  68        0         1
#> 119   24.00      0  17        0         0
#> 35    24.00      0  51        0         0
#> 119.1 24.00      0  17        0         0
#> 118   24.00      0  44        1         0
#> 121   24.00      0  57        1         0
#> 174   24.00      0  49        1         0
#> 44    24.00      0  56        0         0
#> 102   24.00      0  49        0         0
#> 84.1  24.00      0  39        0         1
#> 173   24.00      0  19        0         1
#> 144   24.00      0  28        0         1
#> 28.1  24.00      0  67        1         0
#> 62    24.00      0  71        0         0
#> 178   24.00      0  52        1         0
#> 173.1 24.00      0  19        0         1
#> 162   24.00      0  51        0         0
#> 112   24.00      0  61        0         0
#> 2     24.00      0   9        0         0
#> 94.1  24.00      0  51        0         1
#> 178.1 24.00      0  52        1         0
#> 71    24.00      0  51        0         0
#> 33.1  24.00      0  53        0         0
#> 118.1 24.00      0  44        1         0
#> 121.1 24.00      0  57        1         0
#> 161.1 24.00      0  45        0         0
#> 62.1  24.00      0  71        0         0
#> 200   24.00      0  64        0         0
#> 162.1 24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 121.2 24.00      0  57        1         0
#> 121.3 24.00      0  57        1         0
#> 103.1 24.00      0  56        1         0
#> 47    24.00      0  38        0         1
#> 144.1 24.00      0  28        0         1
#> 87    24.00      0  27        0         0
#> 65    24.00      0  57        1         0
#> 82    24.00      0  34        0         0
#> 121.4 24.00      0  57        1         0
#> 156   24.00      0  50        1         0
#> 67    24.00      0  25        0         0
#> 141   24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 12    24.00      0  63        0         0
#> 138.1 24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 121.5 24.00      0  57        1         0
#> 176   24.00      0  43        0         1
#> 176.1 24.00      0  43        0         1
#> 74    24.00      0  43        0         1
#> 185.1 24.00      0  44        1         0
#> 28.2  24.00      0  67        1         0
#> 46.1  24.00      0  71        0         0
#> 191   24.00      0  60        0         1
#> 178.2 24.00      0  52        1         0
#> 7.1   24.00      0  37        1         0
#> 198   24.00      0  66        0         1
#> 186   24.00      0  45        1         0
#> 20.1  24.00      0  46        1         0
#> 147.1 24.00      0  76        1         0
#> 64.1  24.00      0  43        0         0
#> 112.1 24.00      0  61        0         0
#> 176.2 24.00      0  43        0         1
#> 151.1 24.00      0  42        0         0
#> 172   24.00      0  41        0         0
#> 31    24.00      0  36        0         1
#> 20.2  24.00      0  46        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.00972        NA        NA      NA
#> 2 age, Cure model          0.00114        NA        NA      NA
#> 3 grade_ii, Cure model    -0.212          NA        NA      NA
#> 4 grade_iii, Cure model    0.654          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0112        NA        NA      NA
#> 2 grade_ii, Survival model    0.360         NA        NA      NA
#> 3 grade_iii, Survival model   0.360         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.009723          0.001138         -0.211904          0.653728  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    267.3 
#> Residual Deviance: 261.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.009723017      0.001138190     -0.211904008      0.653727791 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01124816       0.36001967       0.36022915 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.8664901 0.2381018 0.8457165 0.5788486 0.7248387 0.4983739 0.7916463
#>   [8] 0.8297221 0.2963460 0.9063718 0.5448743 0.6422722 0.5360892 0.3578672
#>  [15] 0.9159552 0.7679575 0.5270627 0.7798696 0.8613041 0.5788486 0.7248387
#>  [22] 0.9526861 0.9703585 0.9916890 0.9299782 0.6710990 0.9481784 0.6113751
#>  [29] 0.9790500 0.9206876 0.1082574 0.8189212 0.7182599 0.4578541 0.6271430
#>  [36] 0.9299782 0.7248387 0.7435720 0.4884281 0.8767253 0.2613741 0.9111841
#>  [43] 0.9659617 0.8867239 0.5081012 0.8297221 0.3291249 0.5448743 0.5176970
#>  [50] 0.6781539 0.5788486 0.9790500 0.8767253 0.7916463 0.9790500 0.8561075
#>  [57] 0.6568415 0.2078246 0.6919369 0.4244575 0.8134656 0.3721209 0.6422722
#>  [64] 0.9747149 0.3129352 0.9571477 0.7558235 0.5619726 0.8916891 0.7916463
#>  [71] 0.5619726 0.9206876 0.7916463 0.4469069 0.8403980 0.9571477 0.4244575
#>  [78] 0.6193583 0.9436443 0.8189212 0.1082574 0.4122995 0.8457165 0.7619264
#>  [85] 0.6568415 0.6271430 0.7679575 0.7857953 0.6032397 0.7435720 0.9916890
#>  [92] 0.4578541 0.4783510 0.9015119 0.8716345 0.6919369 0.6919369 0.3291249
#>  [99] 0.6919369 0.6850932 0.1082574 0.3860141 0.9299782 0.3993330 0.8966135
#> [106] 0.2613741 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [190] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>   123   164    13    88    79   128    29   133    92    43   179    45    76 
#> 13.00 23.60 14.34 18.37 16.23 20.35 15.45 14.65 22.92 12.10 18.63 17.42 19.22 
#>    15    52     6    55    39   155  88.1  79.1    16    77   127    61   106 
#> 22.68 10.42 15.64 19.34 15.59 13.08 18.37 16.23  8.71  7.27  3.53 10.12 16.67 
#>   187   134    91    93    24   180     5    32   117  61.1  79.2   188    68 
#>  9.92 17.81  5.33 10.33 23.89 14.82 16.43 20.90 17.46 10.12 16.23 16.16 20.62 
#>   177   129   107    70    37   150 133.1    63 179.1   170   130  88.2  91.1 
#> 12.53 23.41 11.18  7.38 12.52 20.33 14.65 22.77 18.63 19.54 16.47 18.37  5.33 
#> 177.1  29.1  91.2    81    23    86    85    99    18   169  45.1    25   113 
#> 12.53 15.45  5.33 14.06 16.92 23.81 16.44 21.19 15.21 22.41 17.42  6.32 22.86 
#>   149   100     8    42  29.2   8.1  93.1  29.3    90    96 149.1  99.1   110 
#>  8.37 16.07 18.43 12.43 15.45 18.43 10.33 15.45 20.94 14.54  8.37 21.19 17.56 
#>   145 180.1  24.1   197  13.1    26  23.1 117.1   6.1   167    40 188.1 127.1 
#> 10.07 14.82 23.89 21.60 14.34 15.77 16.92 17.46 15.64 15.55 18.00 16.16  3.53 
#>  32.1   190    49   140   192  85.1  63.1  85.2   181  24.2   194  61.2    66 
#> 20.90 20.81 12.19 12.68 16.44 16.44 22.77 16.44 16.46 23.89 22.40 10.12 22.13 
#>    56 129.1   147    84   161    20   151    53   103   126    28    64   120 
#> 12.21 23.41 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185     7    75   138    94   193    33    46   146    22 120.1   119    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.1   118   121   174    44   102  84.1   173   144  28.1    62   178 173.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162   112     2  94.1 178.1    71  33.1 118.1 121.1 161.1  62.1   200 162.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80 121.2 121.3 103.1    47 144.1    87    65    82 121.4   156    67   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148    12 138.1    48 121.5   176 176.1    74 185.1  28.2  46.1   191 178.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   7.1   198   186  20.1 147.1  64.1 112.1 176.2 151.1   172    31  20.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[54]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.006731615               0.487219917               0.426633520 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.246542468             0.006423683            -0.147063416 
#>   grade_iii, Cure model 
#>             0.399003805 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 168   23.72      1  70        0         0
#> 13    14.34      1  54        0         1
#> 177   12.53      1  75        0         0
#> 56    12.21      1  60        0         0
#> 130   16.47      1  53        0         1
#> 66    22.13      1  53        0         0
#> 113   22.86      1  34        0         0
#> 68    20.62      1  44        0         0
#> 130.1 16.47      1  53        0         1
#> 124    9.73      1  NA        1         0
#> 6     15.64      1  39        0         0
#> 63    22.77      1  31        1         0
#> 10    10.53      1  34        0         0
#> 77     7.27      1  67        0         1
#> 58    19.34      1  39        0         0
#> 134   17.81      1  47        1         0
#> 24    23.89      1  38        0         0
#> 158   20.14      1  74        1         0
#> 123   13.00      1  44        1         0
#> 159   10.55      1  50        0         1
#> 25     6.32      1  34        1         0
#> 93    10.33      1  52        0         1
#> 113.1 22.86      1  34        0         0
#> 4     17.64      1  NA        0         1
#> 49    12.19      1  48        1         0
#> 159.1 10.55      1  50        0         1
#> 40    18.00      1  28        1         0
#> 92    22.92      1  47        0         1
#> 179   18.63      1  42        0         0
#> 107   11.18      1  54        1         0
#> 89    11.44      1  NA        0         0
#> 199   19.81      1  NA        0         1
#> 66.1  22.13      1  53        0         0
#> 10.1  10.53      1  34        0         0
#> 180   14.82      1  37        0         0
#> 133   14.65      1  57        0         0
#> 69    23.23      1  25        0         1
#> 110   17.56      1  65        0         1
#> 29    15.45      1  68        1         0
#> 76    19.22      1  54        0         1
#> 189   10.51      1  NA        1         0
#> 5     16.43      1  51        0         1
#> 155   13.08      1  26        0         0
#> 199.1 19.81      1  NA        0         1
#> 14    12.89      1  21        0         0
#> 43    12.10      1  61        0         1
#> 175   21.91      1  43        0         0
#> 8     18.43      1  32        0         0
#> 92.1  22.92      1  47        0         1
#> 88    18.37      1  47        0         0
#> 59    10.16      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 117   17.46      1  26        0         1
#> 45    17.42      1  54        0         1
#> 32    20.90      1  37        1         0
#> 66.2  22.13      1  53        0         0
#> 181   16.46      1  45        0         1
#> 69.1  23.23      1  25        0         1
#> 105   19.75      1  60        0         0
#> 42    12.43      1  49        0         1
#> 52    10.42      1  52        0         1
#> 59.1  10.16      1  NA        1         0
#> 60    13.15      1  38        1         0
#> 114   13.68      1  NA        0         0
#> 91     5.33      1  61        0         1
#> 86    23.81      1  58        0         1
#> 111   17.45      1  47        0         1
#> 42.1  12.43      1  49        0         1
#> 101    9.97      1  10        0         1
#> 127    3.53      1  62        0         1
#> 42.2  12.43      1  49        0         1
#> 58.1  19.34      1  39        0         0
#> 85    16.44      1  36        0         0
#> 145   10.07      1  65        1         0
#> 175.1 21.91      1  43        0         0
#> 10.2  10.53      1  34        0         0
#> 168.1 23.72      1  70        0         0
#> 32.1  20.90      1  37        1         0
#> 32.2  20.90      1  37        1         0
#> 107.1 11.18      1  54        1         0
#> 192   16.44      1  31        1         0
#> 45.1  17.42      1  54        0         1
#> 130.2 16.47      1  53        0         1
#> 164   23.60      1  76        0         1
#> 96    14.54      1  33        0         1
#> 18    15.21      1  49        1         0
#> 70     7.38      1  30        1         0
#> 183    9.24      1  67        1         0
#> 50    10.02      1  NA        1         0
#> 79    16.23      1  54        1         0
#> 4.1   17.64      1  NA        0         1
#> 154   12.63      1  20        1         0
#> 139   21.49      1  63        1         0
#> 190   20.81      1  42        1         0
#> 30    17.43      1  78        0         0
#> 61    10.12      1  36        0         1
#> 127.1  3.53      1  62        0         1
#> 168.2 23.72      1  70        0         0
#> 55    19.34      1  69        0         1
#> 129   23.41      1  53        1         0
#> 188   16.16      1  46        0         1
#> 58.2  19.34      1  39        0         0
#> 58.3  19.34      1  39        0         0
#> 18.1  15.21      1  49        1         0
#> 133.1 14.65      1  57        0         0
#> 114.1 13.68      1  NA        0         0
#> 57    14.46      1  45        0         1
#> 197   21.60      1  69        1         0
#> 107.2 11.18      1  54        1         0
#> 155.1 13.08      1  26        0         0
#> 6.1   15.64      1  39        0         0
#> 171   16.57      1  41        0         1
#> 19    24.00      0  57        0         1
#> 75    24.00      0  21        1         0
#> 44    24.00      0  56        0         0
#> 102   24.00      0  49        0         0
#> 174   24.00      0  49        1         0
#> 160   24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 21    24.00      0  47        0         0
#> 141   24.00      0  44        1         0
#> 21.1  24.00      0  47        0         0
#> 3     24.00      0  31        1         0
#> 116   24.00      0  58        0         1
#> 9     24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 176   24.00      0  43        0         1
#> 160.1 24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 144   24.00      0  28        0         1
#> 19.1  24.00      0  57        0         1
#> 104   24.00      0  50        1         0
#> 34    24.00      0  36        0         0
#> 75.1  24.00      0  21        1         0
#> 12    24.00      0  63        0         0
#> 138   24.00      0  44        1         0
#> 193   24.00      0  45        0         1
#> 48    24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 112.1 24.00      0  61        0         0
#> 162   24.00      0  51        0         0
#> 74    24.00      0  43        0         1
#> 19.2  24.00      0  57        0         1
#> 38    24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 87    24.00      0  27        0         0
#> 119   24.00      0  17        0         0
#> 122   24.00      0  66        0         0
#> 74.1  24.00      0  43        0         1
#> 103   24.00      0  56        1         0
#> 165   24.00      0  47        0         0
#> 112.2 24.00      0  61        0         0
#> 21.2  24.00      0  47        0         0
#> 94    24.00      0  51        0         1
#> 33    24.00      0  53        0         0
#> 191   24.00      0  60        0         1
#> 95    24.00      0  68        0         1
#> 104.1 24.00      0  50        1         0
#> 173   24.00      0  19        0         1
#> 62    24.00      0  71        0         0
#> 28    24.00      0  67        1         0
#> 165.1 24.00      0  47        0         0
#> 131   24.00      0  66        0         0
#> 191.1 24.00      0  60        0         1
#> 118   24.00      0  44        1         0
#> 83    24.00      0   6        0         0
#> 17    24.00      0  38        0         1
#> 144.1 24.00      0  28        0         1
#> 44.1  24.00      0  56        0         0
#> 71    24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 132   24.00      0  55        0         0
#> 71.1  24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 174.1 24.00      0  49        1         0
#> 22    24.00      0  52        1         0
#> 48.1  24.00      0  31        1         0
#> 87.1  24.00      0  27        0         0
#> 152.1 24.00      0  36        0         1
#> 146   24.00      0  63        1         0
#> 46    24.00      0  71        0         0
#> 71.2  24.00      0  51        0         0
#> 12.1  24.00      0  63        0         0
#> 1     24.00      0  23        1         0
#> 147   24.00      0  76        1         0
#> 141.1 24.00      0  44        1         0
#> 98    24.00      0  34        1         0
#> 116.1 24.00      0  58        0         1
#> 17.1  24.00      0  38        0         1
#> 174.2 24.00      0  49        1         0
#> 118.1 24.00      0  44        1         0
#> 182   24.00      0  35        0         0
#> 3.1   24.00      0  31        1         0
#> 19.3  24.00      0  57        0         1
#> 20    24.00      0  46        1         0
#> 54    24.00      0  53        1         0
#> 47    24.00      0  38        0         1
#> 122.1 24.00      0  66        0         0
#> 22.1  24.00      0  52        1         0
#> 80    24.00      0  41        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.247          NA        NA      NA
#> 2 age, Cure model          0.00642        NA        NA      NA
#> 3 grade_ii, Cure model    -0.147          NA        NA      NA
#> 4 grade_iii, Cure model    0.399          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00673        NA        NA      NA
#> 2 grade_ii, Survival model   0.487          NA        NA      NA
#> 3 grade_iii, Survival model  0.427          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.246542          0.006424         -0.147063          0.399004  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258.3 
#> Residual Deviance: 255.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.246542468      0.006423683     -0.147063416      0.399003805 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.006731615      0.487219917      0.426633520 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.020734922 0.658272591 0.729256074 0.769391816 0.466359775 0.135061004
#>   [7] 0.106376640 0.253787445 0.466359775 0.557015932 0.125401841 0.849730619
#>  [13] 0.950238769 0.283731900 0.384127252 0.003281138 0.263725682 0.698814197
#>  [19] 0.829728734 0.960237495 0.889892693 0.106376640 0.779557638 0.829728734
#>  [25] 0.373726795 0.088029476 0.342443034 0.799840013 0.135061004 0.849730619
#>  [31] 0.607397596 0.617540973 0.069242449 0.394475531 0.577184714 0.332158558
#>  [37] 0.526667934 0.678591069 0.708968842 0.789699875 0.163747732 0.352804161
#>  [43] 0.088029476 0.363224612 0.204980103 0.404826776 0.435697781 0.215353521
#>  [49] 0.135061004 0.496365836 0.069242449 0.273668032 0.739425357 0.879771986
#>  [55] 0.668451930 0.970205626 0.011937523 0.415102865 0.739425357 0.920175793
#>  [61] 0.980172105 0.739425357 0.283731900 0.506548880 0.910092865 0.163747732
#>  [67] 0.849730619 0.020734922 0.215353521 0.215353521 0.799840013 0.506548880
#>  [73] 0.435697781 0.466359775 0.046813673 0.637872247 0.587353419 0.940242577
#>  [79] 0.930211179 0.536808424 0.719142698 0.194557103 0.243948019 0.425349404
#>  [85] 0.900004247 0.980172105 0.020734922 0.283731900 0.058174767 0.546923757
#>  [91] 0.283731900 0.283731900 0.587353419 0.617540973 0.648082988 0.184097734
#>  [97] 0.799840013 0.678591069 0.557015932 0.456086573 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>   168    13   177    56   130    66   113    68 130.1     6    63    10    77 
#> 23.72 14.34 12.53 12.21 16.47 22.13 22.86 20.62 16.47 15.64 22.77 10.53  7.27 
#>    58   134    24   158   123   159    25    93 113.1    49 159.1    40    92 
#> 19.34 17.81 23.89 20.14 13.00 10.55  6.32 10.33 22.86 12.19 10.55 18.00 22.92 
#>   179   107  66.1  10.1   180   133    69   110    29    76     5   155    14 
#> 18.63 11.18 22.13 10.53 14.82 14.65 23.23 17.56 15.45 19.22 16.43 13.08 12.89 
#>    43   175     8  92.1    88    90   117    45    32  66.2   181  69.1   105 
#> 12.10 21.91 18.43 22.92 18.37 20.94 17.46 17.42 20.90 22.13 16.46 23.23 19.75 
#>    42    52    60    91    86   111  42.1   101   127  42.2  58.1    85   145 
#> 12.43 10.42 13.15  5.33 23.81 17.45 12.43  9.97  3.53 12.43 19.34 16.44 10.07 
#> 175.1  10.2 168.1  32.1  32.2 107.1   192  45.1 130.2   164    96    18    70 
#> 21.91 10.53 23.72 20.90 20.90 11.18 16.44 17.42 16.47 23.60 14.54 15.21  7.38 
#>   183    79   154   139   190    30    61 127.1 168.2    55   129   188  58.2 
#>  9.24 16.23 12.63 21.49 20.81 17.43 10.12  3.53 23.72 19.34 23.41 16.16 19.34 
#>  58.3  18.1 133.1    57   197 107.2 155.1   6.1   171    19    75    44   102 
#> 19.34 15.21 14.65 14.46 21.60 11.18 13.08 15.64 16.57 24.00 24.00 24.00 24.00 
#>   174   160    21   141  21.1     3   116     9    53   176 160.1   112   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  19.1   104    34  75.1    12   138   193    48    72 112.1   162    74  19.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38   161    87   119   122  74.1   103   165 112.2  21.2    94    33   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95 104.1   173    62    28 165.1   131 191.1   118    83    17 144.1  44.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71   152   132  71.1   126 174.1    22  48.1  87.1 152.1   146    46  71.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  12.1     1   147 141.1    98 116.1  17.1 174.2 118.1   182   3.1  19.3    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54    47 122.1  22.1    80 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[55]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              0.0001778183              0.2632714919              0.1204453297 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.189128803            -0.009174734             0.081248820 
#>   grade_iii, Cure model 
#>             1.162918244 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 171   16.57      1  41        0         1
#> 124    9.73      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 105   19.75      1  60        0         0
#> 8     18.43      1  32        0         0
#> 133   14.65      1  57        0         0
#> 4     17.64      1  NA        0         1
#> 55    19.34      1  69        0         1
#> 8.1   18.43      1  32        0         0
#> 128   20.35      1  35        0         1
#> 187    9.92      1  39        1         0
#> 150   20.33      1  48        0         0
#> 171.1 16.57      1  41        0         1
#> 24    23.89      1  38        0         0
#> 133.1 14.65      1  57        0         0
#> 136   21.83      1  43        0         1
#> 76    19.22      1  54        0         1
#> 157   15.10      1  47        0         0
#> 113   22.86      1  34        0         0
#> 180   14.82      1  37        0         0
#> 40    18.00      1  28        1         0
#> 90    20.94      1  50        0         1
#> 93    10.33      1  52        0         1
#> 194   22.40      1  38        0         1
#> 68    20.62      1  44        0         0
#> 177   12.53      1  75        0         0
#> 32    20.90      1  37        1         0
#> 180.1 14.82      1  37        0         0
#> 52    10.42      1  52        0         1
#> 70     7.38      1  30        1         0
#> 23    16.92      1  61        0         0
#> 85    16.44      1  36        0         0
#> 197   21.60      1  69        1         0
#> 97    19.14      1  65        0         1
#> 4.1   17.64      1  NA        0         1
#> 52.1  10.42      1  52        0         1
#> 192   16.44      1  31        1         0
#> 114   13.68      1  NA        0         0
#> 13    14.34      1  54        0         1
#> 150.1 20.33      1  48        0         0
#> 158   20.14      1  74        1         0
#> 69    23.23      1  25        0         1
#> 57    14.46      1  45        0         1
#> 199   19.81      1  NA        0         1
#> 45    17.42      1  54        0         1
#> 39    15.59      1  37        0         1
#> 50    10.02      1  NA        1         0
#> 195   11.76      1  NA        1         0
#> 76.1  19.22      1  54        0         1
#> 123   13.00      1  44        1         0
#> 100.1 16.07      1  60        0         0
#> 188   16.16      1  46        0         1
#> 36    21.19      1  48        0         1
#> 97.1  19.14      1  65        0         1
#> 194.1 22.40      1  38        0         1
#> 106   16.67      1  49        1         0
#> 154   12.63      1  20        1         0
#> 8.2   18.43      1  32        0         0
#> 136.1 21.83      1  43        0         1
#> 106.1 16.67      1  49        1         0
#> 168   23.72      1  70        0         0
#> 14    12.89      1  21        0         0
#> 159   10.55      1  50        0         1
#> 8.3   18.43      1  32        0         0
#> 6     15.64      1  39        0         0
#> 16     8.71      1  71        0         1
#> 127    3.53      1  62        0         1
#> 197.1 21.60      1  69        1         0
#> 149    8.37      1  33        1         0
#> 76.2  19.22      1  54        0         1
#> 128.1 20.35      1  35        0         1
#> 85.1  16.44      1  36        0         0
#> 189   10.51      1  NA        1         0
#> 69.1  23.23      1  25        0         1
#> 42    12.43      1  49        0         1
#> 15    22.68      1  48        0         0
#> 41    18.02      1  40        1         0
#> 130   16.47      1  53        0         1
#> 129   23.41      1  53        1         0
#> 10    10.53      1  34        0         0
#> 90.1  20.94      1  50        0         1
#> 110   17.56      1  65        0         1
#> 37    12.52      1  57        1         0
#> 25     6.32      1  34        1         0
#> 106.2 16.67      1  49        1         0
#> 49    12.19      1  48        1         0
#> 37.1  12.52      1  57        1         0
#> 101    9.97      1  10        0         1
#> 89    11.44      1  NA        0         0
#> 6.1   15.64      1  39        0         0
#> 90.2  20.94      1  50        0         1
#> 179   18.63      1  42        0         0
#> 26    15.77      1  49        0         1
#> 40.1  18.00      1  28        1         0
#> 42.1  12.43      1  49        0         1
#> 108   18.29      1  39        0         1
#> 16.1   8.71      1  71        0         1
#> 36.1  21.19      1  48        0         1
#> 43    12.10      1  61        0         1
#> 70.1   7.38      1  30        1         0
#> 5     16.43      1  51        0         1
#> 130.1 16.47      1  53        0         1
#> 88    18.37      1  47        0         0
#> 40.2  18.00      1  28        1         0
#> 16.2   8.71      1  71        0         1
#> 50.1  10.02      1  NA        1         0
#> 187.1  9.92      1  39        1         0
#> 194.2 22.40      1  38        0         1
#> 129.1 23.41      1  53        1         0
#> 166   19.98      1  48        0         0
#> 170   19.54      1  43        0         1
#> 159.1 10.55      1  50        0         1
#> 46    24.00      0  71        0         0
#> 74    24.00      0  43        0         1
#> 162   24.00      0  51        0         0
#> 165   24.00      0  47        0         0
#> 126   24.00      0  48        0         0
#> 67    24.00      0  25        0         0
#> 65    24.00      0  57        1         0
#> 54    24.00      0  53        1         0
#> 160   24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 47    24.00      0  38        0         1
#> 87    24.00      0  27        0         0
#> 103   24.00      0  56        1         0
#> 38    24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 178   24.00      0  52        1         0
#> 34    24.00      0  36        0         0
#> 103.1 24.00      0  56        1         0
#> 28    24.00      0  67        1         0
#> 103.2 24.00      0  56        1         0
#> 64    24.00      0  43        0         0
#> 120   24.00      0  68        0         1
#> 98    24.00      0  34        1         0
#> 84    24.00      0  39        0         1
#> 54.1  24.00      0  53        1         0
#> 80    24.00      0  41        0         0
#> 54.2  24.00      0  53        1         0
#> 20    24.00      0  46        1         0
#> 22    24.00      0  52        1         0
#> 126.1 24.00      0  48        0         0
#> 174   24.00      0  49        1         0
#> 131   24.00      0  66        0         0
#> 118   24.00      0  44        1         0
#> 33    24.00      0  53        0         0
#> 191   24.00      0  60        0         1
#> 193   24.00      0  45        0         1
#> 62    24.00      0  71        0         0
#> 172   24.00      0  41        0         0
#> 33.1  24.00      0  53        0         0
#> 83    24.00      0   6        0         0
#> 62.1  24.00      0  71        0         0
#> 46.1  24.00      0  71        0         0
#> 1     24.00      0  23        1         0
#> 21    24.00      0  47        0         0
#> 48    24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 34.1  24.00      0  36        0         0
#> 122   24.00      0  66        0         0
#> 46.2  24.00      0  71        0         0
#> 87.1  24.00      0  27        0         0
#> 141   24.00      0  44        1         0
#> 33.2  24.00      0  53        0         0
#> 131.1 24.00      0  66        0         0
#> 72    24.00      0  40        0         1
#> 103.3 24.00      0  56        1         0
#> 115   24.00      0  NA        1         0
#> 20.1  24.00      0  46        1         0
#> 116   24.00      0  58        0         1
#> 109.1 24.00      0  48        0         0
#> 165.1 24.00      0  47        0         0
#> 178.1 24.00      0  52        1         0
#> 94    24.00      0  51        0         1
#> 94.1  24.00      0  51        0         1
#> 142   24.00      0  53        0         0
#> 95    24.00      0  68        0         1
#> 44    24.00      0  56        0         0
#> 2     24.00      0   9        0         0
#> 143   24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 84.1  24.00      0  39        0         1
#> 62.2  24.00      0  71        0         0
#> 146   24.00      0  63        1         0
#> 2.1   24.00      0   9        0         0
#> 160.1 24.00      0  31        1         0
#> 84.2  24.00      0  39        0         1
#> 84.3  24.00      0  39        0         1
#> 48.1  24.00      0  31        1         0
#> 121   24.00      0  57        1         0
#> 44.1  24.00      0  56        0         0
#> 115.1 24.00      0  NA        1         0
#> 84.4  24.00      0  39        0         1
#> 87.2  24.00      0  27        0         0
#> 191.1 24.00      0  60        0         1
#> 142.1 24.00      0  53        0         0
#> 74.1  24.00      0  43        0         1
#> 126.2 24.00      0  48        0         0
#> 84.5  24.00      0  39        0         1
#> 148   24.00      0  61        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.189          NA        NA      NA
#> 2 age, Cure model         -0.00917        NA        NA      NA
#> 3 grade_ii, Cure model     0.0812         NA        NA      NA
#> 4 grade_iii, Cure model    1.16           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000178        NA        NA      NA
#> 2 grade_ii, Survival model  0.263           NA        NA      NA
#> 3 grade_iii, Survival model 0.120           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.189129         -0.009175          0.081249          1.162918  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.3 
#> Residual Deviance: 246.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.189128803     -0.009174734      0.081248820      1.162918244 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     0.0001778183     0.2632714919     0.1204453297 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.56516400 0.64688389 0.32656267 0.41468609 0.72811834 0.34669446
#>   [7] 0.41468609 0.26625028 0.91416309 0.28632108 0.56516400 0.01025281
#>  [13] 0.72811834 0.15101252 0.35669869 0.70108149 0.09330034 0.71013323
#>  [19] 0.48160310 0.21545523 0.89666976 0.11840741 0.25591135 0.79105850
#>  [25] 0.24556920 0.71013323 0.87922740 0.96581057 0.52839067 0.60168526
#>  [31] 0.17317127 0.38555117 0.87922740 0.60168526 0.75512907 0.28632108
#>  [37] 0.30638041 0.06985955 0.74609894 0.51896200 0.69202878 0.35669869
#>  [43] 0.76414423 0.64688389 0.63779024 0.19447016 0.38555117 0.11840741
#>  [49] 0.53781751 0.78210816 0.41468609 0.15101252 0.53781751 0.02768297
#>  [55] 0.77312639 0.85294772 0.41468609 0.67401006 0.93145974 0.99145323
#>  [61] 0.17317127 0.95718245 0.35669869 0.26625028 0.60168526 0.06985955
#>  [67] 0.81768172 0.10585937 0.47193974 0.58346423 0.04542385 0.87043828
#>  [73] 0.21545523 0.50950948 0.80000748 0.98289610 0.53781751 0.83530346
#>  [79] 0.80000748 0.90542191 0.67401006 0.21545523 0.40489670 0.66493799
#>  [85] 0.48160310 0.81768172 0.46221456 0.93145974 0.19447016 0.84413206
#>  [91] 0.96581057 0.62867876 0.58346423 0.45246150 0.48160310 0.93145974
#>  [97] 0.91416309 0.11840741 0.04542385 0.31647291 0.33664912 0.85294772
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>   171   100   105     8   133    55   8.1   128   187   150 171.1    24 133.1 
#> 16.57 16.07 19.75 18.43 14.65 19.34 18.43 20.35  9.92 20.33 16.57 23.89 14.65 
#>   136    76   157   113   180    40    90    93   194    68   177    32 180.1 
#> 21.83 19.22 15.10 22.86 14.82 18.00 20.94 10.33 22.40 20.62 12.53 20.90 14.82 
#>    52    70    23    85   197    97  52.1   192    13 150.1   158    69    57 
#> 10.42  7.38 16.92 16.44 21.60 19.14 10.42 16.44 14.34 20.33 20.14 23.23 14.46 
#>    45    39  76.1   123 100.1   188    36  97.1 194.1   106   154   8.2 136.1 
#> 17.42 15.59 19.22 13.00 16.07 16.16 21.19 19.14 22.40 16.67 12.63 18.43 21.83 
#> 106.1   168    14   159   8.3     6    16   127 197.1   149  76.2 128.1  85.1 
#> 16.67 23.72 12.89 10.55 18.43 15.64  8.71  3.53 21.60  8.37 19.22 20.35 16.44 
#>  69.1    42    15    41   130   129    10  90.1   110    37    25 106.2    49 
#> 23.23 12.43 22.68 18.02 16.47 23.41 10.53 20.94 17.56 12.52  6.32 16.67 12.19 
#>  37.1   101   6.1  90.2   179    26  40.1  42.1   108  16.1  36.1    43  70.1 
#> 12.52  9.97 15.64 20.94 18.63 15.77 18.00 12.43 18.29  8.71 21.19 12.10  7.38 
#>     5 130.1    88  40.2  16.2 187.1 194.2 129.1   166   170 159.1    46    74 
#> 16.43 16.47 18.37 18.00  8.71  9.92 22.40 23.41 19.98 19.54 10.55 24.00 24.00 
#>   162   165   126    67    65    54   160     7    47    87   103    38   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178    34 103.1    28 103.2    64   120    98    84  54.1    80  54.2    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22 126.1   174   131   118    33   191   193    62   172  33.1    83  62.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  46.1     1    21    48   135  34.1   122  46.2  87.1   141  33.2 131.1    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 103.3  20.1   116 109.1 165.1 178.1    94  94.1   142    95    44     2   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31  84.1  62.2   146   2.1 160.1  84.2  84.3  48.1   121  44.1  84.4  87.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 191.1 142.1  74.1 126.2  84.5   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[56]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005894805               0.146777249              -0.028658685 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.106845902            -0.002298364             0.195115426 
#>   grade_iii, Cure model 
#>             0.755351344 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 16     8.71      1  71        0         1
#> 105   19.75      1  60        0         0
#> 101    9.97      1  10        0         1
#> 153   21.33      1  55        1         0
#> 175   21.91      1  43        0         0
#> 129   23.41      1  53        1         0
#> 125   15.65      1  67        1         0
#> 23    16.92      1  61        0         0
#> 171   16.57      1  41        0         1
#> 127    3.53      1  62        0         1
#> 166   19.98      1  48        0         0
#> 77     7.27      1  67        0         1
#> 113   22.86      1  34        0         0
#> 139   21.49      1  63        1         0
#> 155   13.08      1  26        0         0
#> 32    20.90      1  37        1         0
#> 18    15.21      1  49        1         0
#> 166.1 19.98      1  48        0         0
#> 30    17.43      1  78        0         0
#> 61    10.12      1  36        0         1
#> 136   21.83      1  43        0         1
#> 58    19.34      1  39        0         0
#> 167   15.55      1  56        1         0
#> 97    19.14      1  65        0         1
#> 29    15.45      1  68        1         0
#> 157   15.10      1  47        0         0
#> 117   17.46      1  26        0         1
#> 133   14.65      1  57        0         0
#> 154   12.63      1  20        1         0
#> 14    12.89      1  21        0         0
#> 92    22.92      1  47        0         1
#> 57    14.46      1  45        0         1
#> 88    18.37      1  47        0         0
#> 23.1  16.92      1  61        0         0
#> 153.1 21.33      1  55        1         0
#> 61.1  10.12      1  36        0         1
#> 10    10.53      1  34        0         0
#> 97.1  19.14      1  65        0         1
#> 128   20.35      1  35        0         1
#> 39    15.59      1  37        0         1
#> 10.1  10.53      1  34        0         0
#> 49    12.19      1  48        1         0
#> 43    12.10      1  61        0         1
#> 136.1 21.83      1  43        0         1
#> 79    16.23      1  54        1         0
#> 29.1  15.45      1  68        1         0
#> 41    18.02      1  40        1         0
#> 70     7.38      1  30        1         0
#> 88.1  18.37      1  47        0         0
#> 78    23.88      1  43        0         0
#> 15    22.68      1  48        0         0
#> 184   17.77      1  38        0         0
#> 69    23.23      1  25        0         1
#> 36    21.19      1  48        0         1
#> 179   18.63      1  42        0         0
#> 164   23.60      1  76        0         1
#> 180   14.82      1  37        0         0
#> 190   20.81      1  42        1         0
#> 134   17.81      1  47        1         0
#> 177   12.53      1  75        0         0
#> 56    12.21      1  60        0         0
#> 93    10.33      1  52        0         1
#> 139.1 21.49      1  63        1         0
#> 10.2  10.53      1  34        0         0
#> 85    16.44      1  36        0         0
#> 123   13.00      1  44        1         0
#> 155.1 13.08      1  26        0         0
#> 170   19.54      1  43        0         1
#> 60    13.15      1  38        1         0
#> 153.2 21.33      1  55        1         0
#> 155.2 13.08      1  26        0         0
#> 32.1  20.90      1  37        1         0
#> 76    19.22      1  54        0         1
#> 49.1  12.19      1  48        1         0
#> 97.2  19.14      1  65        0         1
#> 18.1  15.21      1  49        1         0
#> 175.1 21.91      1  43        0         0
#> 101.1  9.97      1  10        0         1
#> 26    15.77      1  49        0         1
#> 114   13.68      1  NA        0         0
#> 42    12.43      1  49        0         1
#> 90    20.94      1  50        0         1
#> 110   17.56      1  65        0         1
#> 79.1  16.23      1  54        1         0
#> 81    14.06      1  34        0         0
#> 133.1 14.65      1  57        0         0
#> 30.1  17.43      1  78        0         0
#> 60.1  13.15      1  38        1         0
#> 70.1   7.38      1  30        1         0
#> 6     15.64      1  39        0         0
#> 166.2 19.98      1  48        0         0
#> 88.2  18.37      1  47        0         0
#> 192   16.44      1  31        1         0
#> 56.1  12.21      1  60        0         0
#> 92.1  22.92      1  47        0         1
#> 18.2  15.21      1  49        1         0
#> 93.1  10.33      1  52        0         1
#> 41.1  18.02      1  40        1         0
#> 179.1 18.63      1  42        0         0
#> 16.1   8.71      1  71        0         1
#> 42.1  12.43      1  49        0         1
#> 188   16.16      1  46        0         1
#> 171.1 16.57      1  41        0         1
#> 56.2  12.21      1  60        0         0
#> 183    9.24      1  67        1         0
#> 125.1 15.65      1  67        1         0
#> 79.2  16.23      1  54        1         0
#> 81.1  14.06      1  34        0         0
#> 59    10.16      1  NA        1         0
#> 140   12.68      1  59        1         0
#> 37    12.52      1  57        1         0
#> 55    19.34      1  69        0         1
#> 141   24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 186   24.00      0  45        1         0
#> 87    24.00      0  27        0         0
#> 115   24.00      0  NA        1         0
#> 73    24.00      0  NA        0         1
#> 53    24.00      0  32        0         1
#> 109   24.00      0  48        0         0
#> 65    24.00      0  57        1         0
#> 131   24.00      0  66        0         0
#> 161   24.00      0  45        0         0
#> 143   24.00      0  51        0         0
#> 165   24.00      0  47        0         0
#> 120   24.00      0  68        0         1
#> 44    24.00      0  56        0         0
#> 7     24.00      0  37        1         0
#> 33    24.00      0  53        0         0
#> 200   24.00      0  64        0         0
#> 34    24.00      0  36        0         0
#> 120.1 24.00      0  68        0         1
#> 116   24.00      0  58        0         1
#> 65.1  24.00      0  57        1         0
#> 54    24.00      0  53        1         0
#> 174   24.00      0  49        1         0
#> 64    24.00      0  43        0         0
#> 1     24.00      0  23        1         0
#> 33.1  24.00      0  53        0         0
#> 137   24.00      0  45        1         0
#> 28    24.00      0  67        1         0
#> 126   24.00      0  48        0         0
#> 182   24.00      0  35        0         0
#> 126.1 24.00      0  48        0         0
#> 163   24.00      0  66        0         0
#> 119   24.00      0  17        0         0
#> 47    24.00      0  38        0         1
#> 141.1 24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 83    24.00      0   6        0         0
#> 116.1 24.00      0  58        0         1
#> 112   24.00      0  61        0         0
#> 83.1  24.00      0   6        0         0
#> 33.2  24.00      0  53        0         0
#> 72    24.00      0  40        0         1
#> 120.2 24.00      0  68        0         1
#> 200.1 24.00      0  64        0         0
#> 185   24.00      0  44        1         0
#> 131.1 24.00      0  66        0         0
#> 118   24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 138   24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 200.2 24.00      0  64        0         0
#> 156   24.00      0  50        1         0
#> 74    24.00      0  43        0         1
#> 54.1  24.00      0  53        1         0
#> 64.1  24.00      0  43        0         0
#> 33.3  24.00      0  53        0         0
#> 33.4  24.00      0  53        0         0
#> 104   24.00      0  50        1         0
#> 12    24.00      0  63        0         0
#> 152   24.00      0  36        0         1
#> 176   24.00      0  43        0         1
#> 119.1 24.00      0  17        0         0
#> 48    24.00      0  31        1         0
#> 35    24.00      0  51        0         0
#> 20    24.00      0  46        1         0
#> 141.2 24.00      0  44        1         0
#> 74.1  24.00      0  43        0         1
#> 54.2  24.00      0  53        1         0
#> 198   24.00      0  66        0         1
#> 44.1  24.00      0  56        0         0
#> 131.2 24.00      0  66        0         0
#> 186.1 24.00      0  45        1         0
#> 121   24.00      0  57        1         0
#> 178   24.00      0  52        1         0
#> 21    24.00      0  47        0         0
#> 115.1 24.00      0  NA        1         0
#> 135   24.00      0  58        1         0
#> 143.1 24.00      0  51        0         0
#> 182.1 24.00      0  35        0         0
#> 11    24.00      0  42        0         1
#> 186.2 24.00      0  45        1         0
#> 147   24.00      0  76        1         0
#> 27    24.00      0  63        1         0
#> 112.1 24.00      0  61        0         0
#> 198.1 24.00      0  66        0         1
#> 80    24.00      0  41        0         0
#> 196   24.00      0  19        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.107          NA        NA      NA
#> 2 age, Cure model         -0.00230        NA        NA      NA
#> 3 grade_ii, Cure model     0.195          NA        NA      NA
#> 4 grade_iii, Cure model    0.755          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00589        NA        NA      NA
#> 2 grade_ii, Survival model   0.147          NA        NA      NA
#> 3 grade_iii, Survival model -0.0287         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.106846         -0.002298          0.195115          0.755351  
#> 
#> Degrees of Freedom: 194 Total (i.e. Null);  191 Residual
#> Null Deviance:	    267.1 
#> Residual Deviance: 262.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.106845902     -0.002298364      0.195115426      0.755351344 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005894805      0.146777249     -0.028658685 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.931778801 0.162710093 0.898106529 0.077436449 0.039883592 0.008396340
#>   [7] 0.446211173 0.341718088 0.360355509 0.988516054 0.140631298 0.977075403
#>  [13] 0.028126585 0.064330649 0.638946716 0.111507908 0.515829950 0.140631298
#>  [19] 0.323382872 0.875771211 0.051747403 0.178461219 0.485760715 0.202542233
#>  [25] 0.495791385 0.545823590 0.314274746 0.566326701 0.702013940 0.680762315
#>  [31] 0.018133146 0.586891594 0.244140736 0.341718088 0.077436449 0.875771211
#>  [37] 0.820695891 0.202542233 0.133157268 0.475764627 0.820695891 0.787874757
#>  [43] 0.809673890 0.051747403 0.398200146 0.495791385 0.269817639 0.954419130
#>  [49] 0.244140736 0.001131397 0.033878488 0.296235899 0.013109935 0.097032624
#>  [55] 0.227149670 0.004103951 0.556056625 0.125770151 0.287315715 0.712649903
#>  [61] 0.755516518 0.853557188 0.064330649 0.820695891 0.379224270 0.670170598
#>  [67] 0.638946716 0.170540930 0.618103597 0.077436449 0.638946716 0.111507908
#>  [73] 0.194335586 0.787874757 0.202542233 0.515829950 0.039883592 0.898106529
#>  [79] 0.436395450 0.734063204 0.104200745 0.305210331 0.398200146 0.597312644
#>  [85] 0.566326701 0.323382872 0.618103597 0.954419130 0.465814263 0.140631298
#>  [91] 0.244140736 0.379224270 0.755516518 0.018133146 0.515829950 0.853557188
#>  [97] 0.269817639 0.227149670 0.931778801 0.734063204 0.426639429 0.360355509
#> [103] 0.755516518 0.920488562 0.446211173 0.398200146 0.597312644 0.691373257
#> [109] 0.723342892 0.178461219 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    16   105   101   153   175   129   125    23   171   127   166    77   113 
#>  8.71 19.75  9.97 21.33 21.91 23.41 15.65 16.92 16.57  3.53 19.98  7.27 22.86 
#>   139   155    32    18 166.1    30    61   136    58   167    97    29   157 
#> 21.49 13.08 20.90 15.21 19.98 17.43 10.12 21.83 19.34 15.55 19.14 15.45 15.10 
#>   117   133   154    14    92    57    88  23.1 153.1  61.1    10  97.1   128 
#> 17.46 14.65 12.63 12.89 22.92 14.46 18.37 16.92 21.33 10.12 10.53 19.14 20.35 
#>    39  10.1    49    43 136.1    79  29.1    41    70  88.1    78    15   184 
#> 15.59 10.53 12.19 12.10 21.83 16.23 15.45 18.02  7.38 18.37 23.88 22.68 17.77 
#>    69    36   179   164   180   190   134   177    56    93 139.1  10.2    85 
#> 23.23 21.19 18.63 23.60 14.82 20.81 17.81 12.53 12.21 10.33 21.49 10.53 16.44 
#>   123 155.1   170    60 153.2 155.2  32.1    76  49.1  97.2  18.1 175.1 101.1 
#> 13.00 13.08 19.54 13.15 21.33 13.08 20.90 19.22 12.19 19.14 15.21 21.91  9.97 
#>    26    42    90   110  79.1    81 133.1  30.1  60.1  70.1     6 166.2  88.2 
#> 15.77 12.43 20.94 17.56 16.23 14.06 14.65 17.43 13.15  7.38 15.64 19.98 18.37 
#>   192  56.1  92.1  18.2  93.1  41.1 179.1  16.1  42.1   188 171.1  56.2   183 
#> 16.44 12.21 22.92 15.21 10.33 18.02 18.63  8.71 12.43 16.16 16.57 12.21  9.24 
#> 125.1  79.2  81.1   140    37    55   141   146   186    87    53   109    65 
#> 15.65 16.23 14.06 12.68 12.52 19.34 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131   161   143   165   120    44     7    33   200    34 120.1   116  65.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54   174    64     1  33.1   137    28   126   182 126.1   163   119    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 141.1   132    83 116.1   112  83.1  33.2    72 120.2 200.1   185 131.1   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31   138   173 200.2   156    74  54.1  64.1  33.3  33.4   104    12   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176 119.1    48    35    20 141.2  74.1  54.2   198  44.1 131.2 186.1   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178    21   135 143.1 182.1    11 186.2   147    27 112.1 198.1    80   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[57]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.006310447               0.655363348               0.570432545 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.759112291             0.009413564             0.522585732 
#>   grade_iii, Cure model 
#>             1.126499807 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 128   20.35      1  35        0         1
#> 13    14.34      1  54        0         1
#> 199   19.81      1  NA        0         1
#> 110   17.56      1  65        0         1
#> 89    11.44      1  NA        0         0
#> 81    14.06      1  34        0         0
#> 55    19.34      1  69        0         1
#> 125   15.65      1  67        1         0
#> 58    19.34      1  39        0         0
#> 49    12.19      1  48        1         0
#> 97    19.14      1  65        0         1
#> 106   16.67      1  49        1         0
#> 8     18.43      1  32        0         0
#> 171   16.57      1  41        0         1
#> 166   19.98      1  48        0         0
#> 51    18.23      1  83        0         1
#> 129   23.41      1  53        1         0
#> 136   21.83      1  43        0         1
#> 177   12.53      1  75        0         0
#> 39    15.59      1  37        0         1
#> 81.1  14.06      1  34        0         0
#> 153   21.33      1  55        1         0
#> 40    18.00      1  28        1         0
#> 158   20.14      1  74        1         0
#> 171.1 16.57      1  41        0         1
#> 124    9.73      1  NA        1         0
#> 32    20.90      1  37        1         0
#> 59    10.16      1  NA        1         0
#> 124.1  9.73      1  NA        1         0
#> 128.1 20.35      1  35        0         1
#> 168   23.72      1  70        0         0
#> 18    15.21      1  49        1         0
#> 70     7.38      1  30        1         0
#> 114   13.68      1  NA        0         0
#> 43    12.10      1  61        0         1
#> 183    9.24      1  67        1         0
#> 189   10.51      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 129.1 23.41      1  53        1         0
#> 32.1  20.90      1  37        1         0
#> 69    23.23      1  25        0         1
#> 63    22.77      1  31        1         0
#> 70.1   7.38      1  30        1         0
#> 92    22.92      1  47        0         1
#> 110.1 17.56      1  65        0         1
#> 123   13.00      1  44        1         0
#> 36.1  21.19      1  48        0         1
#> 171.2 16.57      1  41        0         1
#> 79    16.23      1  54        1         0
#> 40.1  18.00      1  28        1         0
#> 90    20.94      1  50        0         1
#> 117   17.46      1  26        0         1
#> 90.1  20.94      1  50        0         1
#> 15    22.68      1  48        0         0
#> 177.1 12.53      1  75        0         0
#> 15.1  22.68      1  48        0         0
#> 169   22.41      1  46        0         0
#> 192   16.44      1  31        1         0
#> 39.1  15.59      1  37        0         1
#> 149    8.37      1  33        1         0
#> 106.1 16.67      1  49        1         0
#> 187    9.92      1  39        1         0
#> 41    18.02      1  40        1         0
#> 30    17.43      1  78        0         0
#> 40.2  18.00      1  28        1         0
#> 171.3 16.57      1  41        0         1
#> 117.1 17.46      1  26        0         1
#> 189.1 10.51      1  NA        1         0
#> 15.2  22.68      1  48        0         0
#> 25     6.32      1  34        1         0
#> 42    12.43      1  49        0         1
#> 169.1 22.41      1  46        0         0
#> 128.2 20.35      1  35        0         1
#> 10    10.53      1  34        0         0
#> 70.2   7.38      1  30        1         0
#> 24    23.89      1  38        0         0
#> 177.2 12.53      1  75        0         0
#> 18.1  15.21      1  49        1         0
#> 49.1  12.19      1  48        1         0
#> 59.1  10.16      1  NA        1         0
#> 56    12.21      1  60        0         0
#> 194   22.40      1  38        0         1
#> 187.1  9.92      1  39        1         0
#> 123.1 13.00      1  44        1         0
#> 154   12.63      1  20        1         0
#> 41.1  18.02      1  40        1         0
#> 76    19.22      1  54        0         1
#> 51.1  18.23      1  83        0         1
#> 181   16.46      1  45        0         1
#> 128.3 20.35      1  35        0         1
#> 50    10.02      1  NA        1         0
#> 175   21.91      1  43        0         0
#> 190   20.81      1  42        1         0
#> 100   16.07      1  60        0         0
#> 5     16.43      1  51        0         1
#> 129.2 23.41      1  53        1         0
#> 150   20.33      1  48        0         0
#> 26    15.77      1  49        0         1
#> 97.1  19.14      1  65        0         1
#> 30.1  17.43      1  78        0         0
#> 169.2 22.41      1  46        0         0
#> 93    10.33      1  52        0         1
#> 32.2  20.90      1  37        1         0
#> 66    22.13      1  53        0         0
#> 195   11.76      1  NA        1         0
#> 24.1  23.89      1  38        0         0
#> 110.2 17.56      1  65        0         1
#> 91     5.33      1  61        0         1
#> 184   17.77      1  38        0         0
#> 91.1   5.33      1  61        0         1
#> 66.1  22.13      1  53        0         0
#> 79.1  16.23      1  54        1         0
#> 48    24.00      0  31        1         0
#> 3     24.00      0  31        1         0
#> 163   24.00      0  66        0         0
#> 178   24.00      0  52        1         0
#> 193   24.00      0  45        0         1
#> 173   24.00      0  19        0         1
#> 121   24.00      0  57        1         0
#> 82    24.00      0  34        0         0
#> 102   24.00      0  49        0         0
#> 118   24.00      0  44        1         0
#> 174   24.00      0  49        1         0
#> 95    24.00      0  68        0         1
#> 122   24.00      0  66        0         0
#> 143   24.00      0  51        0         0
#> 178.1 24.00      0  52        1         0
#> 112   24.00      0  61        0         0
#> 54    24.00      0  53        1         0
#> 193.1 24.00      0  45        0         1
#> 62    24.00      0  71        0         0
#> 73    24.00      0  NA        0         1
#> 103   24.00      0  56        1         0
#> 17    24.00      0  38        0         1
#> 173.1 24.00      0  19        0         1
#> 146   24.00      0  63        1         0
#> 193.2 24.00      0  45        0         1
#> 35    24.00      0  51        0         0
#> 200   24.00      0  64        0         0
#> 48.1  24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 176   24.00      0  43        0         1
#> 193.3 24.00      0  45        0         1
#> 109   24.00      0  48        0         0
#> 35.1  24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 138   24.00      0  44        1         0
#> 98    24.00      0  34        1         0
#> 19.1  24.00      0  57        0         1
#> 73.1  24.00      0  NA        0         1
#> 71    24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 53    24.00      0  32        0         1
#> 122.1 24.00      0  66        0         0
#> 126   24.00      0  48        0         0
#> 135   24.00      0  58        1         0
#> 82.1  24.00      0  34        0         0
#> 122.2 24.00      0  66        0         0
#> 109.1 24.00      0  48        0         0
#> 87    24.00      0  27        0         0
#> 53.1  24.00      0  32        0         1
#> 156   24.00      0  50        1         0
#> 102.1 24.00      0  49        0         0
#> 103.1 24.00      0  56        1         0
#> 20    24.00      0  46        1         0
#> 67    24.00      0  25        0         0
#> 121.1 24.00      0  57        1         0
#> 182   24.00      0  35        0         0
#> 132   24.00      0  55        0         0
#> 33    24.00      0  53        0         0
#> 28    24.00      0  67        1         0
#> 64    24.00      0  43        0         0
#> 38    24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 28.1  24.00      0  67        1         0
#> 73.2  24.00      0  NA        0         1
#> 115   24.00      0  NA        1         0
#> 163.1 24.00      0  66        0         0
#> 112.1 24.00      0  61        0         0
#> 2     24.00      0   9        0         0
#> 21    24.00      0  47        0         0
#> 84    24.00      0  39        0         1
#> 102.2 24.00      0  49        0         0
#> 20.1  24.00      0  46        1         0
#> 112.2 24.00      0  61        0         0
#> 47    24.00      0  38        0         1
#> 143.1 24.00      0  51        0         0
#> 142   24.00      0  53        0         0
#> 84.1  24.00      0  39        0         1
#> 137.1 24.00      0  45        1         0
#> 3.1   24.00      0  31        1         0
#> 148   24.00      0  61        1         0
#> 34    24.00      0  36        0         0
#> 3.2   24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 64.1  24.00      0  43        0         0
#> 22    24.00      0  52        1         0
#> 98.1  24.00      0  34        1         0
#> 73.3  24.00      0  NA        0         1
#> 152   24.00      0  36        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.759          NA        NA      NA
#> 2 age, Cure model          0.00941        NA        NA      NA
#> 3 grade_ii, Cure model     0.523          NA        NA      NA
#> 4 grade_iii, Cure model    1.13           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00631        NA        NA      NA
#> 2 grade_ii, Survival model   0.655          NA        NA      NA
#> 3 grade_iii, Survival model  0.570          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.759112          0.009414          0.522586          1.126500  
#> 
#> Degrees of Freedom: 183 Total (i.e. Null);  180 Residual
#> Null Deviance:	    253.3 
#> Residual Deviance: 244.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.759112291      0.009413564      0.522585732      1.126499807 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.006310447      0.655363348      0.570432545 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.55992420 0.87277430 0.72465005 0.87804617 0.62036724 0.84582860
#>   [7] 0.62036724 0.92914833 0.64491318 0.76977709 0.66039295 0.78216004
#>  [13] 0.61186764 0.66815825 0.20379152 0.45234774 0.90395034 0.85134429
#>  [19] 0.87804617 0.46519422 0.69722617 0.60332607 0.78216004 0.52131040
#>  [25] 0.55992420 0.15965881 0.86216739 0.97261551 0.93899609 0.96317457
#>  [31] 0.47745664 0.20379152 0.52131040 0.26076335 0.29707930 0.97261551
#>  [37] 0.27973238 0.72465005 0.88852824 0.47745664 0.78216004 0.82332785
#>  [43] 0.69722617 0.50006784 0.74420974 0.50006784 0.31316624 0.90395034
#>  [49] 0.31316624 0.35674907 0.81168210 0.85134429 0.96791083 0.76977709
#>  [55] 0.95363459 0.68292085 0.75706204 0.69722617 0.78216004 0.74420974
#>  [61] 0.31316624 0.98639724 0.91909017 0.35674907 0.55992420 0.94389178
#>  [67] 0.97261551 0.07269347 0.90395034 0.86216739 0.92914833 0.92412555
#>  [73] 0.39861741 0.95363459 0.88852824 0.89882302 0.68292085 0.63679987
#>  [79] 0.66815825 0.80577217 0.55992420 0.43900079 0.55033374 0.83460308
#>  [85] 0.81753485 0.20379152 0.59452636 0.84024227 0.64491318 0.75706204
#>  [91] 0.35674907 0.94878139 0.52131040 0.41246515 0.07269347 0.72465005
#>  [97] 0.99098296 0.71775783 0.99098296 0.41246515 0.82332785 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   128    13   110    81    55   125    58    49    97   106     8   171   166 
#> 20.35 14.34 17.56 14.06 19.34 15.65 19.34 12.19 19.14 16.67 18.43 16.57 19.98 
#>    51   129   136   177    39  81.1   153    40   158 171.1    32 128.1   168 
#> 18.23 23.41 21.83 12.53 15.59 14.06 21.33 18.00 20.14 16.57 20.90 20.35 23.72 
#>    18    70    43   183    36 129.1  32.1    69    63  70.1    92 110.1   123 
#> 15.21  7.38 12.10  9.24 21.19 23.41 20.90 23.23 22.77  7.38 22.92 17.56 13.00 
#>  36.1 171.2    79  40.1    90   117  90.1    15 177.1  15.1   169   192  39.1 
#> 21.19 16.57 16.23 18.00 20.94 17.46 20.94 22.68 12.53 22.68 22.41 16.44 15.59 
#>   149 106.1   187    41    30  40.2 171.3 117.1  15.2    25    42 169.1 128.2 
#>  8.37 16.67  9.92 18.02 17.43 18.00 16.57 17.46 22.68  6.32 12.43 22.41 20.35 
#>    10  70.2    24 177.2  18.1  49.1    56   194 187.1 123.1   154  41.1    76 
#> 10.53  7.38 23.89 12.53 15.21 12.19 12.21 22.40  9.92 13.00 12.63 18.02 19.22 
#>  51.1   181 128.3   175   190   100     5 129.2   150    26  97.1  30.1 169.2 
#> 18.23 16.46 20.35 21.91 20.81 16.07 16.43 23.41 20.33 15.77 19.14 17.43 22.41 
#>    93  32.2    66  24.1 110.2    91   184  91.1  66.1  79.1    48     3   163 
#> 10.33 20.90 22.13 23.89 17.56  5.33 17.77  5.33 22.13 16.23 24.00 24.00 24.00 
#>   178   193   173   121    82   102   118   174    95   122   143 178.1   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54 193.1    62   103    17 173.1   146 193.2    35   200  48.1    19   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.3   109  35.1   119   138    98  19.1    71   137    53 122.1   126   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.1 122.2 109.1    87  53.1   156 102.1 103.1    20    67 121.1   182   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33    28    64    38    44  28.1 163.1 112.1     2    21    84 102.2  20.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 112.2    47 143.1   142  84.1 137.1   3.1   148    34   3.2     1  64.1    22 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.1   152 
#> 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[58]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003874011               0.704914867               0.416050376 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.00246355              0.01640588              0.44914986 
#>   grade_iii, Cure model 
#>              0.68807214 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 167   15.55      1  56        1         0
#> 168   23.72      1  70        0         0
#> 29    15.45      1  68        1         0
#> 42    12.43      1  49        0         1
#> 179   18.63      1  42        0         0
#> 85    16.44      1  36        0         0
#> 51    18.23      1  83        0         1
#> 108   18.29      1  39        0         1
#> 190   20.81      1  42        1         0
#> 56    12.21      1  60        0         0
#> 60    13.15      1  38        1         0
#> 60.1  13.15      1  38        1         0
#> 181   16.46      1  45        0         1
#> 166   19.98      1  48        0         0
#> 43    12.10      1  61        0         1
#> 107   11.18      1  54        1         0
#> 8     18.43      1  32        0         0
#> 30    17.43      1  78        0         0
#> 194   22.40      1  38        0         1
#> 167.1 15.55      1  56        1         0
#> 139   21.49      1  63        1         0
#> 150   20.33      1  48        0         0
#> 26    15.77      1  49        0         1
#> 171   16.57      1  41        0         1
#> 96    14.54      1  33        0         1
#> 70     7.38      1  30        1         0
#> 170   19.54      1  43        0         1
#> 58    19.34      1  39        0         0
#> 76    19.22      1  54        0         1
#> 51.1  18.23      1  83        0         1
#> 97    19.14      1  65        0         1
#> 145   10.07      1  65        1         0
#> 171.1 16.57      1  41        0         1
#> 57    14.46      1  45        0         1
#> 179.1 18.63      1  42        0         0
#> 114   13.68      1  NA        0         0
#> 91     5.33      1  61        0         1
#> 93    10.33      1  52        0         1
#> 145.1 10.07      1  65        1         0
#> 114.1 13.68      1  NA        0         0
#> 25     6.32      1  34        1         0
#> 189   10.51      1  NA        1         0
#> 145.2 10.07      1  65        1         0
#> 134   17.81      1  47        1         0
#> 124    9.73      1  NA        1         0
#> 45    17.42      1  54        0         1
#> 93.1  10.33      1  52        0         1
#> 139.1 21.49      1  63        1         0
#> 187    9.92      1  39        1         0
#> 93.2  10.33      1  52        0         1
#> 140   12.68      1  59        1         0
#> 128   20.35      1  35        0         1
#> 123   13.00      1  44        1         0
#> 136   21.83      1  43        0         1
#> 129   23.41      1  53        1         0
#> 24    23.89      1  38        0         0
#> 99    21.19      1  38        0         1
#> 175   21.91      1  43        0         0
#> 106   16.67      1  49        1         0
#> 81    14.06      1  34        0         0
#> 66    22.13      1  53        0         0
#> 76.1  19.22      1  54        0         1
#> 108.1 18.29      1  39        0         1
#> 43.1  12.10      1  61        0         1
#> 195   11.76      1  NA        1         0
#> 29.1  15.45      1  68        1         0
#> 42.1  12.43      1  49        0         1
#> 139.2 21.49      1  63        1         0
#> 59    10.16      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 6     15.64      1  39        0         0
#> 55    19.34      1  69        0         1
#> 123.1 13.00      1  44        1         0
#> 32    20.90      1  37        1         0
#> 140.1 12.68      1  59        1         0
#> 57.1  14.46      1  45        0         1
#> 133   14.65      1  57        0         0
#> 10    10.53      1  34        0         0
#> 124.1  9.73      1  NA        1         0
#> 106.1 16.67      1  49        1         0
#> 90    20.94      1  50        0         1
#> 55.1  19.34      1  69        0         1
#> 90.1  20.94      1  50        0         1
#> 133.1 14.65      1  57        0         0
#> 154   12.63      1  20        1         0
#> 164   23.60      1  76        0         1
#> 8.1   18.43      1  32        0         0
#> 139.3 21.49      1  63        1         0
#> 175.1 21.91      1  43        0         0
#> 69.1  23.23      1  25        0         1
#> 190.1 20.81      1  42        1         0
#> 181.1 16.46      1  45        0         1
#> 125   15.65      1  67        1         0
#> 89    11.44      1  NA        0         0
#> 170.1 19.54      1  43        0         1
#> 105   19.75      1  60        0         0
#> 40    18.00      1  28        1         0
#> 88    18.37      1  47        0         0
#> 166.1 19.98      1  48        0         0
#> 68    20.62      1  44        0         0
#> 78    23.88      1  43        0         0
#> 140.2 12.68      1  59        1         0
#> 50    10.02      1  NA        1         0
#> 59.1  10.16      1  NA        1         0
#> 175.2 21.91      1  43        0         0
#> 29.2  15.45      1  68        1         0
#> 55.2  19.34      1  69        0         1
#> 125.1 15.65      1  67        1         0
#> 96.1  14.54      1  33        0         1
#> 134.1 17.81      1  47        1         0
#> 136.1 21.83      1  43        0         1
#> 63    22.77      1  31        1         0
#> 22    24.00      0  52        1         0
#> 132   24.00      0  55        0         0
#> 162   24.00      0  51        0         0
#> 46    24.00      0  71        0         0
#> 31    24.00      0  36        0         1
#> 27    24.00      0  63        1         0
#> 102   24.00      0  49        0         0
#> 120   24.00      0  68        0         1
#> 104   24.00      0  50        1         0
#> 137   24.00      0  45        1         0
#> 152   24.00      0  36        0         1
#> 74    24.00      0  43        0         1
#> 38    24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 80    24.00      0  41        0         0
#> 46.1  24.00      0  71        0         0
#> 1     24.00      0  23        1         0
#> 9     24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 7     24.00      0  37        1         0
#> 53    24.00      0  32        0         1
#> 196   24.00      0  19        0         0
#> 146   24.00      0  63        1         0
#> 152.1 24.00      0  36        0         1
#> 112.1 24.00      0  61        0         0
#> 109   24.00      0  48        0         0
#> 53.1  24.00      0  32        0         1
#> 53.2  24.00      0  32        0         1
#> 21    24.00      0  47        0         0
#> 151   24.00      0  42        0         0
#> 65.1  24.00      0  57        1         0
#> 119   24.00      0  17        0         0
#> 7.1   24.00      0  37        1         0
#> 12    24.00      0  63        0         0
#> 47    24.00      0  38        0         1
#> 147   24.00      0  76        1         0
#> 80.1  24.00      0  41        0         0
#> 72    24.00      0  40        0         1
#> 109.1 24.00      0  48        0         0
#> 83    24.00      0   6        0         0
#> 35    24.00      0  51        0         0
#> 193   24.00      0  45        0         1
#> 198   24.00      0  66        0         1
#> 53.3  24.00      0  32        0         1
#> 120.1 24.00      0  68        0         1
#> 95    24.00      0  68        0         1
#> 116   24.00      0  58        0         1
#> 73    24.00      0  NA        0         1
#> 141   24.00      0  44        1         0
#> 67    24.00      0  25        0         0
#> 162.1 24.00      0  51        0         0
#> 3     24.00      0  31        1         0
#> 22.1  24.00      0  52        1         0
#> 141.1 24.00      0  44        1         0
#> 174   24.00      0  49        1         0
#> 1.1   24.00      0  23        1         0
#> 142   24.00      0  53        0         0
#> 193.1 24.00      0  45        0         1
#> 120.2 24.00      0  68        0         1
#> 116.1 24.00      0  58        0         1
#> 152.2 24.00      0  36        0         1
#> 174.1 24.00      0  49        1         0
#> 118   24.00      0  44        1         0
#> 174.2 24.00      0  49        1         0
#> 144   24.00      0  28        0         1
#> 72.1  24.00      0  40        0         1
#> 48    24.00      0  31        1         0
#> 112.2 24.00      0  61        0         0
#> 67.1  24.00      0  25        0         0
#> 33    24.00      0  53        0         0
#> 12.1  24.00      0  63        0         0
#> 72.2  24.00      0  40        0         1
#> 64    24.00      0  43        0         0
#> 132.1 24.00      0  55        0         0
#> 65.2  24.00      0  57        1         0
#> 31.1  24.00      0  36        0         1
#> 62    24.00      0  71        0         0
#> 151.1 24.00      0  42        0         0
#> 87    24.00      0  27        0         0
#> 67.2  24.00      0  25        0         0
#> 48.1  24.00      0  31        1         0
#> 146.1 24.00      0  63        1         0
#> 27.1  24.00      0  63        1         0
#> 119.1 24.00      0  17        0         0
#> 94    24.00      0  51        0         1
#> 135   24.00      0  58        1         0
#> 62.1  24.00      0  71        0         0
#> 115   24.00      0  NA        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.00          NA        NA      NA
#> 2 age, Cure model           0.0164        NA        NA      NA
#> 3 grade_ii, Cure model      0.449         NA        NA      NA
#> 4 grade_iii, Cure model     0.688         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00387        NA        NA      NA
#> 2 grade_ii, Survival model   0.705          NA        NA      NA
#> 3 grade_iii, Survival model  0.416          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.00246           0.01641           0.44915           0.68807  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.3 
#> Residual Deviance: 252.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.00246355       0.01640588       0.44914986       0.68807214 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003874011      0.704914867      0.416050376 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.78661444 0.11047296 0.79969442 0.90835173 0.59895547 0.75249468
#>   [7] 0.65647503 0.64032313 0.44459856 0.91957713 0.86179062 0.86179062
#>  [13] 0.73854120 0.49302469 0.92519806 0.93628223 0.61552456 0.69501538
#>  [19] 0.25041482 0.78661444 0.35721206 0.48343232 0.75949430 0.72437233
#>  [25] 0.83101129 0.98447529 0.52134171 0.53958524 0.57369683 0.65647503
#>  [31] 0.59057157 0.96347721 0.72437233 0.84340355 0.59895547 0.99485337
#>  [37] 0.94729709 0.96347721 0.98968213 0.96347721 0.68000102 0.70253474
#>  [43] 0.94729709 0.35721206 0.97923315 0.94729709 0.88557657 0.47380091
#>  [49] 0.87379687 0.32853983 0.17320930 0.03039519 0.40148421 0.28344871
#>  [55] 0.70998483 0.85565102 0.26704798 0.57369683 0.64032313 0.92519806
#>  [61] 0.79969442 0.90835173 0.35721206 0.19575837 0.77987671 0.53958524
#>  [67] 0.87379687 0.43413967 0.88557657 0.84340355 0.81848402 0.94179192
#>  [73] 0.70998483 0.41279554 0.53958524 0.41279554 0.81848402 0.90266285
#>  [79] 0.14527673 0.61552456 0.35721206 0.28344871 0.19575837 0.44459856
#>  [85] 0.73854120 0.76644061 0.52134171 0.51187446 0.67220479 0.63203503
#>  [91] 0.49302469 0.46402319 0.07205250 0.88557657 0.28344871 0.79969442
#>  [97] 0.53958524 0.76644061 0.83101129 0.68000102 0.32853983 0.23290261
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>   167   168    29    42   179    85    51   108   190    56    60  60.1   181 
#> 15.55 23.72 15.45 12.43 18.63 16.44 18.23 18.29 20.81 12.21 13.15 13.15 16.46 
#>   166    43   107     8    30   194 167.1   139   150    26   171    96    70 
#> 19.98 12.10 11.18 18.43 17.43 22.40 15.55 21.49 20.33 15.77 16.57 14.54  7.38 
#>   170    58    76  51.1    97   145 171.1    57 179.1    91    93 145.1    25 
#> 19.54 19.34 19.22 18.23 19.14 10.07 16.57 14.46 18.63  5.33 10.33 10.07  6.32 
#> 145.2   134    45  93.1 139.1   187  93.2   140   128   123   136   129    24 
#> 10.07 17.81 17.42 10.33 21.49  9.92 10.33 12.68 20.35 13.00 21.83 23.41 23.89 
#>    99   175   106    81    66  76.1 108.1  43.1  29.1  42.1 139.2    69     6 
#> 21.19 21.91 16.67 14.06 22.13 19.22 18.29 12.10 15.45 12.43 21.49 23.23 15.64 
#>    55 123.1    32 140.1  57.1   133    10 106.1    90  55.1  90.1 133.1   154 
#> 19.34 13.00 20.90 12.68 14.46 14.65 10.53 16.67 20.94 19.34 20.94 14.65 12.63 
#>   164   8.1 139.3 175.1  69.1 190.1 181.1   125 170.1   105    40    88 166.1 
#> 23.60 18.43 21.49 21.91 23.23 20.81 16.46 15.65 19.54 19.75 18.00 18.37 19.98 
#>    68    78 140.2 175.2  29.2  55.2 125.1  96.1 134.1 136.1    63    22   132 
#> 20.62 23.88 12.68 21.91 15.45 19.34 15.65 14.54 17.81 21.83 22.77 24.00 24.00 
#>   162    46    31    27   102   120   104   137   152    74    38   112    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  46.1     1     9    65     7    53   196   146 152.1 112.1   109  53.1  53.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21   151  65.1   119   7.1    12    47   147  80.1    72 109.1    83    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193   198  53.3 120.1    95   116   141    67 162.1     3  22.1 141.1   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   1.1   142 193.1 120.2 116.1 152.2 174.1   118 174.2   144  72.1    48 112.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  67.1    33  12.1  72.2    64 132.1  65.2  31.1    62 151.1    87  67.2  48.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 146.1  27.1 119.1    94   135  62.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[59]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003502825               0.548328709               0.242910381 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.25888644              0.02188973             -0.01784941 
#>   grade_iii, Cure model 
#>              1.41301154 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 134   17.81      1  47        1         0
#> 158   20.14      1  74        1         0
#> 26    15.77      1  49        0         1
#> 52    10.42      1  52        0         1
#> 43    12.10      1  61        0         1
#> 159   10.55      1  50        0         1
#> 49    12.19      1  48        1         0
#> 195   11.76      1  NA        1         0
#> 192   16.44      1  31        1         0
#> 194   22.40      1  38        0         1
#> 125   15.65      1  67        1         0
#> 91     5.33      1  61        0         1
#> 85    16.44      1  36        0         0
#> 58    19.34      1  39        0         0
#> 125.1 15.65      1  67        1         0
#> 125.2 15.65      1  67        1         0
#> 5     16.43      1  51        0         1
#> 50    10.02      1  NA        1         0
#> 4     17.64      1  NA        0         1
#> 78    23.88      1  43        0         0
#> 6     15.64      1  39        0         0
#> 128   20.35      1  35        0         1
#> 145   10.07      1  65        1         0
#> 42    12.43      1  49        0         1
#> 86    23.81      1  58        0         1
#> 133   14.65      1  57        0         0
#> 171   16.57      1  41        0         1
#> 79    16.23      1  54        1         0
#> 88    18.37      1  47        0         0
#> 150   20.33      1  48        0         0
#> 36    21.19      1  48        0         1
#> 128.1 20.35      1  35        0         1
#> 194.1 22.40      1  38        0         1
#> 63    22.77      1  31        1         0
#> 61    10.12      1  36        0         1
#> 89    11.44      1  NA        0         0
#> 76    19.22      1  54        0         1
#> 154   12.63      1  20        1         0
#> 128.2 20.35      1  35        0         1
#> 96    14.54      1  33        0         1
#> 188   16.16      1  46        0         1
#> 97    19.14      1  65        0         1
#> 92    22.92      1  47        0         1
#> 4.1   17.64      1  NA        0         1
#> 99    21.19      1  38        0         1
#> 177   12.53      1  75        0         0
#> 155   13.08      1  26        0         0
#> 36.1  21.19      1  48        0         1
#> 150.1 20.33      1  48        0         0
#> 136   21.83      1  43        0         1
#> 77     7.27      1  67        0         1
#> 177.1 12.53      1  75        0         0
#> 90    20.94      1  50        0         1
#> 155.1 13.08      1  26        0         0
#> 179   18.63      1  42        0         0
#> 187    9.92      1  39        1         0
#> 113   22.86      1  34        0         0
#> 79.1  16.23      1  54        1         0
#> 42.1  12.43      1  49        0         1
#> 170   19.54      1  43        0         1
#> 158.1 20.14      1  74        1         0
#> 113.1 22.86      1  34        0         0
#> 197   21.60      1  69        1         0
#> 56    12.21      1  60        0         0
#> 140   12.68      1  59        1         0
#> 41    18.02      1  40        1         0
#> 164   23.60      1  76        0         1
#> 101    9.97      1  10        0         1
#> 89.1  11.44      1  NA        0         0
#> 15    22.68      1  48        0         0
#> 13    14.34      1  54        0         1
#> 29    15.45      1  68        1         0
#> 40    18.00      1  28        1         0
#> 192.1 16.44      1  31        1         0
#> 66    22.13      1  53        0         0
#> 140.1 12.68      1  59        1         0
#> 183    9.24      1  67        1         0
#> 51    18.23      1  83        0         1
#> 175   21.91      1  43        0         0
#> 134.1 17.81      1  47        1         0
#> 117   17.46      1  26        0         1
#> 154.1 12.63      1  20        1         0
#> 130   16.47      1  53        0         1
#> 114   13.68      1  NA        0         0
#> 4.2   17.64      1  NA        0         1
#> 154.2 12.63      1  20        1         0
#> 107   11.18      1  54        1         0
#> 187.1  9.92      1  39        1         0
#> 169   22.41      1  46        0         0
#> 157   15.10      1  47        0         0
#> 157.1 15.10      1  47        0         0
#> 177.2 12.53      1  75        0         0
#> 199   19.81      1  NA        0         1
#> 145.1 10.07      1  65        1         0
#> 101.1  9.97      1  10        0         1
#> 63.1  22.77      1  31        1         0
#> 188.1 16.16      1  46        0         1
#> 61.1  10.12      1  36        0         1
#> 4.3   17.64      1  NA        0         1
#> 36.2  21.19      1  48        0         1
#> 13.1  14.34      1  54        0         1
#> 127    3.53      1  62        0         1
#> 77.1   7.27      1  67        0         1
#> 30    17.43      1  78        0         0
#> 4.4   17.64      1  NA        0         1
#> 58.1  19.34      1  39        0         0
#> 105   19.75      1  60        0         0
#> 45    17.42      1  54        0         1
#> 127.1  3.53      1  62        0         1
#> 101.2  9.97      1  10        0         1
#> 39    15.59      1  37        0         1
#> 56.1  12.21      1  60        0         0
#> 103   24.00      0  56        1         0
#> 137   24.00      0  45        1         0
#> 95    24.00      0  68        0         1
#> 160   24.00      0  31        1         0
#> 143   24.00      0  51        0         0
#> 178   24.00      0  52        1         0
#> 20    24.00      0  46        1         0
#> 35    24.00      0  51        0         0
#> 138   24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 17    24.00      0  38        0         1
#> 2     24.00      0   9        0         0
#> 7     24.00      0  37        1         0
#> 193   24.00      0  45        0         1
#> 143.1 24.00      0  51        0         0
#> 143.2 24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 138.1 24.00      0  44        1         0
#> 67    24.00      0  25        0         0
#> 148   24.00      0  61        1         0
#> 141   24.00      0  44        1         0
#> 33    24.00      0  53        0         0
#> 27    24.00      0  63        1         0
#> 82    24.00      0  34        0         0
#> 135   24.00      0  58        1         0
#> 22    24.00      0  52        1         0
#> 87    24.00      0  27        0         0
#> 191.1 24.00      0  60        0         1
#> 83    24.00      0   6        0         0
#> 120   24.00      0  68        0         1
#> 120.1 24.00      0  68        0         1
#> 94    24.00      0  51        0         1
#> 47    24.00      0  38        0         1
#> 83.1  24.00      0   6        0         0
#> 20.1  24.00      0  46        1         0
#> 112   24.00      0  61        0         0
#> 103.1 24.00      0  56        1         0
#> 1     24.00      0  23        1         0
#> 131   24.00      0  66        0         0
#> 7.1   24.00      0  37        1         0
#> 98    24.00      0  34        1         0
#> 156   24.00      0  50        1         0
#> 178.1 24.00      0  52        1         0
#> 151   24.00      0  42        0         0
#> 112.1 24.00      0  61        0         0
#> 118   24.00      0  44        1         0
#> 83.2  24.00      0   6        0         0
#> 34    24.00      0  36        0         0
#> 193.1 24.00      0  45        0         1
#> 137.1 24.00      0  45        1         0
#> 161   24.00      0  45        0         0
#> 44    24.00      0  56        0         0
#> 102   24.00      0  49        0         0
#> 165   24.00      0  47        0         0
#> 138.2 24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 143.3 24.00      0  51        0         0
#> 9     24.00      0  31        1         0
#> 21.1  24.00      0  47        0         0
#> 185   24.00      0  44        1         0
#> 161.1 24.00      0  45        0         0
#> 35.1  24.00      0  51        0         0
#> 34.1  24.00      0  36        0         0
#> 71    24.00      0  51        0         0
#> 104   24.00      0  50        1         0
#> 83.3  24.00      0   6        0         0
#> 2.1   24.00      0   9        0         0
#> 67.1  24.00      0  25        0         0
#> 34.2  24.00      0  36        0         0
#> 119   24.00      0  17        0         0
#> 82.1  24.00      0  34        0         0
#> 35.2  24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 103.2 24.00      0  56        1         0
#> 196   24.00      0  19        0         0
#> 172   24.00      0  41        0         0
#> 103.3 24.00      0  56        1         0
#> 38    24.00      0  31        1         0
#> 141.1 24.00      0  44        1         0
#> 1.1   24.00      0  23        1         0
#> 48.1  24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 38.1  24.00      0  31        1         0
#> 22.1  24.00      0  52        1         0
#> 72.1  24.00      0  40        0         1
#> 121   24.00      0  57        1         0
#> 148.1 24.00      0  61        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.26          NA        NA      NA
#> 2 age, Cure model           0.0219        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0178        NA        NA      NA
#> 4 grade_iii, Cure model     1.41          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00350        NA        NA      NA
#> 2 grade_ii, Survival model   0.548          NA        NA      NA
#> 3 grade_iii, Survival model  0.243          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.25889           0.02189          -0.01785           1.41301  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    261.1 
#> Residual Deviance: 237.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.25888644       0.02188973      -0.01784941       1.41301154 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003502825      0.548328709      0.242910381 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.54585702 0.41744740 0.67340828 0.89708018 0.87677075 0.89034701
#>   [7] 0.86992337 0.60780524 0.22487232 0.68141179 0.98125267 0.60780524
#>  [13] 0.45818329 0.68141179 0.68141179 0.63280645 0.02535765 0.70419882
#>  [19] 0.36339811 0.91706232 0.84236396 0.05993458 0.74196504 0.59035454
#>  [25] 0.64119372 0.50767448 0.39577583 0.30691565 0.36339811 0.22487232
#>  [31] 0.16458381 0.90378668 0.47809707 0.80060913 0.36339811 0.74945392
#>  [37] 0.65739922 0.48804670 0.10864967 0.30691565 0.82156623 0.77159514
#>  [43] 0.30691565 0.39577583 0.28043925 0.96865988 0.82156623 0.35179861
#>  [49] 0.77159514 0.49787592 0.94949824 0.12874832 0.64119372 0.84236396
#>  [55] 0.44805068 0.41744740 0.12874832 0.29403571 0.85616960 0.78625302
#>  [61] 0.52707595 0.08651029 0.93011633 0.19442658 0.75691067 0.71949547
#>  [67] 0.53654115 0.60780524 0.25247675 0.78625302 0.96229203 0.51743933
#>  [73] 0.26651751 0.54585702 0.56370182 0.80060913 0.59911388 0.80060913
#>  [79] 0.88358732 0.94949824 0.20974574 0.72702972 0.72702972 0.82156623
#>  [85] 0.91706232 0.93011633 0.16458381 0.65739922 0.90378668 0.30691565
#>  [91] 0.75691067 0.98754596 0.96865988 0.57263944 0.45818329 0.43780638
#>  [97] 0.58153344 0.98754596 0.93011633 0.71186569 0.85616960 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   134   158    26    52    43   159    49   192   194   125    91    85    58 
#> 17.81 20.14 15.77 10.42 12.10 10.55 12.19 16.44 22.40 15.65  5.33 16.44 19.34 
#> 125.1 125.2     5    78     6   128   145    42    86   133   171    79    88 
#> 15.65 15.65 16.43 23.88 15.64 20.35 10.07 12.43 23.81 14.65 16.57 16.23 18.37 
#>   150    36 128.1 194.1    63    61    76   154 128.2    96   188    97    92 
#> 20.33 21.19 20.35 22.40 22.77 10.12 19.22 12.63 20.35 14.54 16.16 19.14 22.92 
#>    99   177   155  36.1 150.1   136    77 177.1    90 155.1   179   187   113 
#> 21.19 12.53 13.08 21.19 20.33 21.83  7.27 12.53 20.94 13.08 18.63  9.92 22.86 
#>  79.1  42.1   170 158.1 113.1   197    56   140    41   164   101    15    13 
#> 16.23 12.43 19.54 20.14 22.86 21.60 12.21 12.68 18.02 23.60  9.97 22.68 14.34 
#>    29    40 192.1    66 140.1   183    51   175 134.1   117 154.1   130 154.2 
#> 15.45 18.00 16.44 22.13 12.68  9.24 18.23 21.91 17.81 17.46 12.63 16.47 12.63 
#>   107 187.1   169   157 157.1 177.2 145.1 101.1  63.1 188.1  61.1  36.2  13.1 
#> 11.18  9.92 22.41 15.10 15.10 12.53 10.07  9.97 22.77 16.16 10.12 21.19 14.34 
#>   127  77.1    30  58.1   105    45 127.1 101.2    39  56.1   103   137    95 
#>  3.53  7.27 17.43 19.34 19.75 17.42  3.53  9.97 15.59 12.21 24.00 24.00 24.00 
#>   160   143   178    20    35   138    48   191    17     2     7   193 143.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 143.2    21 138.1    67   148   141    33    27    82   135    22    87 191.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83   120 120.1    94    47  83.1  20.1   112 103.1     1   131   7.1    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156 178.1   151 112.1   118  83.2    34 193.1 137.1   161    44   102   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 138.2   173 143.3     9  21.1   185 161.1  35.1  34.1    71   104  83.3   2.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  67.1  34.2   119  82.1  35.2    19 103.2   196   172 103.3    38 141.1   1.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  48.1    72  38.1  22.1  72.1   121 148.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[60]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.004906045               0.489303145               0.230328716 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.551196215             0.009279751            -0.150786725 
#>   grade_iii, Cure model 
#>             0.870364664 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 169   22.41      1  46        0         0
#> 86    23.81      1  58        0         1
#> 76    19.22      1  54        0         1
#> 199   19.81      1  NA        0         1
#> 100   16.07      1  60        0         0
#> 90    20.94      1  50        0         1
#> 145   10.07      1  65        1         0
#> 39    15.59      1  37        0         1
#> 43    12.10      1  61        0         1
#> 16     8.71      1  71        0         1
#> 194   22.40      1  38        0         1
#> 199.1 19.81      1  NA        0         1
#> 113   22.86      1  34        0         0
#> 181   16.46      1  45        0         1
#> 23    16.92      1  61        0         0
#> 166   19.98      1  48        0         0
#> 134   17.81      1  47        1         0
#> 88    18.37      1  47        0         0
#> 10    10.53      1  34        0         0
#> 52    10.42      1  52        0         1
#> 91     5.33      1  61        0         1
#> 145.1 10.07      1  65        1         0
#> 97    19.14      1  65        0         1
#> 8     18.43      1  32        0         0
#> 183    9.24      1  67        1         0
#> 154   12.63      1  20        1         0
#> 179   18.63      1  42        0         0
#> 100.1 16.07      1  60        0         0
#> 69    23.23      1  25        0         1
#> 45    17.42      1  54        0         1
#> 13    14.34      1  54        0         1
#> 150   20.33      1  48        0         0
#> 113.1 22.86      1  34        0         0
#> 195   11.76      1  NA        1         0
#> 96    14.54      1  33        0         1
#> 76.1  19.22      1  54        0         1
#> 154.1 12.63      1  20        1         0
#> 101    9.97      1  10        0         1
#> 89    11.44      1  NA        0         0
#> 99    21.19      1  38        0         1
#> 101.1  9.97      1  10        0         1
#> 189   10.51      1  NA        1         0
#> 16.1   8.71      1  71        0         1
#> 16.2   8.71      1  71        0         1
#> 10.1  10.53      1  34        0         0
#> 4     17.64      1  NA        0         1
#> 97.1  19.14      1  65        0         1
#> 92    22.92      1  47        0         1
#> 26    15.77      1  49        0         1
#> 190   20.81      1  42        1         0
#> 4.1   17.64      1  NA        0         1
#> 57    14.46      1  45        0         1
#> 24    23.89      1  38        0         0
#> 52.1  10.42      1  52        0         1
#> 36    21.19      1  48        0         1
#> 166.1 19.98      1  48        0         0
#> 167   15.55      1  56        1         0
#> 88.1  18.37      1  47        0         0
#> 199.2 19.81      1  NA        0         1
#> 149    8.37      1  33        1         0
#> 68    20.62      1  44        0         0
#> 55    19.34      1  69        0         1
#> 188   16.16      1  46        0         1
#> 153   21.33      1  55        1         0
#> 197   21.60      1  69        1         0
#> 111   17.45      1  47        0         1
#> 55.1  19.34      1  69        0         1
#> 195.1 11.76      1  NA        1         0
#> 181.1 16.46      1  45        0         1
#> 50    10.02      1  NA        1         0
#> 45.1  17.42      1  54        0         1
#> 139   21.49      1  63        1         0
#> 88.2  18.37      1  47        0         0
#> 166.2 19.98      1  48        0         0
#> 32    20.90      1  37        1         0
#> 90.1  20.94      1  50        0         1
#> 24.1  23.89      1  38        0         0
#> 92.1  22.92      1  47        0         1
#> 177   12.53      1  75        0         0
#> 66    22.13      1  53        0         0
#> 15    22.68      1  48        0         0
#> 188.1 16.16      1  46        0         1
#> 100.2 16.07      1  60        0         0
#> 30    17.43      1  78        0         0
#> 68.1  20.62      1  44        0         0
#> 18    15.21      1  49        1         0
#> 149.1  8.37      1  33        1         0
#> 60    13.15      1  38        1         0
#> 50.1  10.02      1  NA        1         0
#> 10.2  10.53      1  34        0         0
#> 89.1  11.44      1  NA        0         0
#> 171   16.57      1  41        0         1
#> 167.1 15.55      1  56        1         0
#> 188.2 16.16      1  46        0         1
#> 114   13.68      1  NA        0         0
#> 68.2  20.62      1  44        0         0
#> 139.1 21.49      1  63        1         0
#> 86.1  23.81      1  58        0         1
#> 8.1   18.43      1  32        0         0
#> 52.2  10.42      1  52        0         1
#> 194.1 22.40      1  38        0         1
#> 100.3 16.07      1  60        0         0
#> 179.1 18.63      1  42        0         0
#> 18.1  15.21      1  49        1         0
#> 136   21.83      1  43        0         1
#> 170   19.54      1  43        0         1
#> 139.2 21.49      1  63        1         0
#> 42    12.43      1  49        0         1
#> 40    18.00      1  28        1         0
#> 57.1  14.46      1  45        0         1
#> 199.3 19.81      1  NA        0         1
#> 56    12.21      1  60        0         0
#> 21    24.00      0  47        0         0
#> 165   24.00      0  47        0         0
#> 198   24.00      0  66        0         1
#> 109   24.00      0  48        0         0
#> 72    24.00      0  40        0         1
#> 31    24.00      0  36        0         1
#> 186   24.00      0  45        1         0
#> 44    24.00      0  56        0         0
#> 19    24.00      0  57        0         1
#> 121   24.00      0  57        1         0
#> 17    24.00      0  38        0         1
#> 38    24.00      0  31        1         0
#> 186.1 24.00      0  45        1         0
#> 137   24.00      0  45        1         0
#> 144   24.00      0  28        0         1
#> 44.1  24.00      0  56        0         0
#> 17.1  24.00      0  38        0         1
#> 47    24.00      0  38        0         1
#> 131   24.00      0  66        0         0
#> 22    24.00      0  52        1         0
#> 80    24.00      0  41        0         0
#> 87    24.00      0  27        0         0
#> 72.1  24.00      0  40        0         1
#> 141   24.00      0  44        1         0
#> 185   24.00      0  44        1         0
#> 104   24.00      0  50        1         0
#> 102   24.00      0  49        0         0
#> 191   24.00      0  60        0         1
#> 198.1 24.00      0  66        0         1
#> 9     24.00      0  31        1         0
#> 44.2  24.00      0  56        0         0
#> 22.1  24.00      0  52        1         0
#> 132   24.00      0  55        0         0
#> 2     24.00      0   9        0         0
#> 148   24.00      0  61        1         0
#> 176   24.00      0  43        0         1
#> 173   24.00      0  19        0         1
#> 21.1  24.00      0  47        0         0
#> 73    24.00      0  NA        0         1
#> 7     24.00      0  37        1         0
#> 34    24.00      0  36        0         0
#> 132.1 24.00      0  55        0         0
#> 33    24.00      0  53        0         0
#> 28    24.00      0  67        1         0
#> 54    24.00      0  53        1         0
#> 142   24.00      0  53        0         0
#> 200   24.00      0  64        0         0
#> 67    24.00      0  25        0         0
#> 94    24.00      0  51        0         1
#> 73.1  24.00      0  NA        0         1
#> 119   24.00      0  17        0         0
#> 12    24.00      0  63        0         0
#> 44.3  24.00      0  56        0         0
#> 44.4  24.00      0  56        0         0
#> 35    24.00      0  51        0         0
#> 21.2  24.00      0  47        0         0
#> 34.1  24.00      0  36        0         0
#> 53    24.00      0  32        0         1
#> 38.1  24.00      0  31        1         0
#> 27    24.00      0  63        1         0
#> 138   24.00      0  44        1         0
#> 120   24.00      0  68        0         1
#> 3     24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 44.5  24.00      0  56        0         0
#> 185.1 24.00      0  44        1         0
#> 67.1  24.00      0  25        0         0
#> 121.1 24.00      0  57        1         0
#> 17.2  24.00      0  38        0         1
#> 176.1 24.00      0  43        0         1
#> 172   24.00      0  41        0         0
#> 115   24.00      0  NA        1         0
#> 103   24.00      0  56        1         0
#> 185.2 24.00      0  44        1         0
#> 115.1 24.00      0  NA        1         0
#> 2.1   24.00      0   9        0         0
#> 116   24.00      0  58        0         1
#> 160   24.00      0  31        1         0
#> 27.1  24.00      0  63        1         0
#> 102.1 24.00      0  49        0         0
#> 82.1  24.00      0  34        0         0
#> 162   24.00      0  51        0         0
#> 27.2  24.00      0  63        1         0
#> 193   24.00      0  45        0         1
#> 28.1  24.00      0  67        1         0
#> 191.1 24.00      0  60        0         1
#> 163   24.00      0  66        0         0
#> 62    24.00      0  71        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.551          NA        NA      NA
#> 2 age, Cure model          0.00928        NA        NA      NA
#> 3 grade_ii, Cure model    -0.151          NA        NA      NA
#> 4 grade_iii, Cure model    0.870          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00491        NA        NA      NA
#> 2 grade_ii, Survival model   0.489          NA        NA      NA
#> 3 grade_iii, Survival model  0.230          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.55120           0.00928          -0.15079           0.87036  
#> 
#> Degrees of Freedom: 181 Total (i.e. Null);  178 Residual
#> Null Deviance:	    251.2 
#> Residual Deviance: 241.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.551196215      0.009279751     -0.150786725      0.870364664 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.004906045      0.489303145      0.230328716 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.23817307 0.09599067 0.53152249 0.73401392 0.39415824 0.92835496
#>   [7] 0.77227631 0.88061868 0.96151428 0.25433319 0.18945661 0.69467008
#>  [13] 0.67833756 0.47477477 0.63673331 0.60239352 0.88755010 0.90809573
#>  [19] 0.99362040 0.92835496 0.54964545 0.58491209 0.95492246 0.84559813
#>  [25] 0.56734144 0.73401392 0.13586600 0.66198310 0.83125056 0.46488115
#>  [31] 0.18945661 0.80950819 0.53152249 0.84559813 0.94166891 0.37245885
#>  [37] 0.94166891 0.96151428 0.96151428 0.88755010 0.54964545 0.15616979
#>  [43] 0.76456767 0.42553414 0.81682639 0.04186014 0.90809573 0.37245885
#>  [49] 0.47477477 0.77994594 0.60239352 0.98084507 0.43566595 0.51299476
#>  [55] 0.71064270 0.36107277 0.31312391 0.64520976 0.51299476 0.69467008
#>  [61] 0.66198310 0.32679120 0.60239352 0.47477477 0.41515412 0.39415824
#>  [67] 0.04186014 0.15616979 0.85963728 0.28376111 0.22173105 0.71064270
#>  [73] 0.73401392 0.65362151 0.43566595 0.79487471 0.98084507 0.83845398
#>  [79] 0.88755010 0.68653002 0.77994594 0.71064270 0.43566595 0.32679120
#>  [85] 0.09599067 0.58491209 0.90809573 0.25433319 0.73401392 0.56734144
#>  [91] 0.79487471 0.29864254 0.50337714 0.32679120 0.86666013 0.62813621
#>  [97] 0.81682639 0.87364895 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000
#> 
#> $Time
#>   169    86    76   100    90   145    39    43    16   194   113   181    23 
#> 22.41 23.81 19.22 16.07 20.94 10.07 15.59 12.10  8.71 22.40 22.86 16.46 16.92 
#>   166   134    88    10    52    91 145.1    97     8   183   154   179 100.1 
#> 19.98 17.81 18.37 10.53 10.42  5.33 10.07 19.14 18.43  9.24 12.63 18.63 16.07 
#>    69    45    13   150 113.1    96  76.1 154.1   101    99 101.1  16.1  16.2 
#> 23.23 17.42 14.34 20.33 22.86 14.54 19.22 12.63  9.97 21.19  9.97  8.71  8.71 
#>  10.1  97.1    92    26   190    57    24  52.1    36 166.1   167  88.1   149 
#> 10.53 19.14 22.92 15.77 20.81 14.46 23.89 10.42 21.19 19.98 15.55 18.37  8.37 
#>    68    55   188   153   197   111  55.1 181.1  45.1   139  88.2 166.2    32 
#> 20.62 19.34 16.16 21.33 21.60 17.45 19.34 16.46 17.42 21.49 18.37 19.98 20.90 
#>  90.1  24.1  92.1   177    66    15 188.1 100.2    30  68.1    18 149.1    60 
#> 20.94 23.89 22.92 12.53 22.13 22.68 16.16 16.07 17.43 20.62 15.21  8.37 13.15 
#>  10.2   171 167.1 188.2  68.2 139.1  86.1   8.1  52.2 194.1 100.3 179.1  18.1 
#> 10.53 16.57 15.55 16.16 20.62 21.49 23.81 18.43 10.42 22.40 16.07 18.63 15.21 
#>   136   170 139.2    42    40  57.1    56    21   165   198   109    72    31 
#> 21.83 19.54 21.49 12.43 18.00 14.46 12.21 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186    44    19   121    17    38 186.1   137   144  44.1  17.1    47   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22    80    87  72.1   141   185   104   102   191 198.1     9  44.2  22.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   132     2   148   176   173  21.1     7    34 132.1    33    28    54   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200    67    94   119    12  44.3  44.4    35  21.2  34.1    53  38.1    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138   120     3    82  44.5 185.1  67.1 121.1  17.2 176.1   172   103 185.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   2.1   116   160  27.1 102.1  82.1   162  27.2   193  28.1 191.1   163    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[61]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007595313               0.278465724               0.012930742 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.105830094             0.001585044             0.020976113 
#>   grade_iii, Cure model 
#>             0.106257346 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 192   16.44      1  31        1         0
#> 78    23.88      1  43        0         0
#> 90    20.94      1  50        0         1
#> 189   10.51      1  NA        1         0
#> 139   21.49      1  63        1         0
#> 194   22.40      1  38        0         1
#> 63    22.77      1  31        1         0
#> 36    21.19      1  48        0         1
#> 179   18.63      1  42        0         0
#> 123   13.00      1  44        1         0
#> 37    12.52      1  57        1         0
#> 88    18.37      1  47        0         0
#> 68    20.62      1  44        0         0
#> 18    15.21      1  49        1         0
#> 133   14.65      1  57        0         0
#> 158   20.14      1  74        1         0
#> 164   23.60      1  76        0         1
#> 10    10.53      1  34        0         0
#> 24    23.89      1  38        0         0
#> 130   16.47      1  53        0         1
#> 61    10.12      1  36        0         1
#> 85    16.44      1  36        0         0
#> 111   17.45      1  47        0         1
#> 170   19.54      1  43        0         1
#> 14    12.89      1  21        0         0
#> 79    16.23      1  54        1         0
#> 25     6.32      1  34        1         0
#> 25.1   6.32      1  34        1         0
#> 42    12.43      1  49        0         1
#> 108   18.29      1  39        0         1
#> 111.1 17.45      1  47        0         1
#> 63.1  22.77      1  31        1         0
#> 170.1 19.54      1  43        0         1
#> 183    9.24      1  67        1         0
#> 188   16.16      1  46        0         1
#> 10.1  10.53      1  34        0         0
#> 123.1 13.00      1  44        1         0
#> 85.1  16.44      1  36        0         0
#> 175   21.91      1  43        0         0
#> 111.2 17.45      1  47        0         1
#> 181   16.46      1  45        0         1
#> 140   12.68      1  59        1         0
#> 29    15.45      1  68        1         0
#> 192.1 16.44      1  31        1         0
#> 125   15.65      1  67        1         0
#> 125.1 15.65      1  67        1         0
#> 183.1  9.24      1  67        1         0
#> 52    10.42      1  52        0         1
#> 114   13.68      1  NA        0         0
#> 81    14.06      1  34        0         0
#> 43    12.10      1  61        0         1
#> 155   13.08      1  26        0         0
#> 6     15.64      1  39        0         0
#> 8     18.43      1  32        0         0
#> 157   15.10      1  47        0         0
#> 195   11.76      1  NA        1         0
#> 45    17.42      1  54        0         1
#> 100   16.07      1  60        0         0
#> 158.1 20.14      1  74        1         0
#> 117   17.46      1  26        0         1
#> 149    8.37      1  33        1         0
#> 51    18.23      1  83        0         1
#> 184   17.77      1  38        0         0
#> 56    12.21      1  60        0         0
#> 183.2  9.24      1  67        1         0
#> 76    19.22      1  54        0         1
#> 194.1 22.40      1  38        0         1
#> 86    23.81      1  58        0         1
#> 14.1  12.89      1  21        0         0
#> 188.1 16.16      1  46        0         1
#> 157.1 15.10      1  47        0         0
#> 10.2  10.53      1  34        0         0
#> 8.1   18.43      1  32        0         0
#> 128   20.35      1  35        0         1
#> 70     7.38      1  30        1         0
#> 169   22.41      1  46        0         0
#> 150   20.33      1  48        0         0
#> 13    14.34      1  54        0         1
#> 159   10.55      1  50        0         1
#> 117.1 17.46      1  26        0         1
#> 133.1 14.65      1  57        0         0
#> 40    18.00      1  28        1         0
#> 14.2  12.89      1  21        0         0
#> 14.3  12.89      1  21        0         0
#> 101    9.97      1  10        0         1
#> 8.2   18.43      1  32        0         0
#> 197   21.60      1  69        1         0
#> 187    9.92      1  39        1         0
#> 59    10.16      1  NA        1         0
#> 5     16.43      1  51        0         1
#> 101.1  9.97      1  10        0         1
#> 29.1  15.45      1  68        1         0
#> 105   19.75      1  60        0         0
#> 153   21.33      1  55        1         0
#> 197.1 21.60      1  69        1         0
#> 100.1 16.07      1  60        0         0
#> 81.1  14.06      1  34        0         0
#> 177   12.53      1  75        0         0
#> 68.1  20.62      1  44        0         0
#> 192.2 16.44      1  31        1         0
#> 100.2 16.07      1  60        0         0
#> 30    17.43      1  78        0         0
#> 175.1 21.91      1  43        0         0
#> 140.1 12.68      1  59        1         0
#> 26    15.77      1  49        0         1
#> 97    19.14      1  65        0         1
#> 199   19.81      1  NA        0         1
#> 99    21.19      1  38        0         1
#> 59.1  10.16      1  NA        1         0
#> 158.2 20.14      1  74        1         0
#> 171   16.57      1  41        0         1
#> 93    10.33      1  52        0         1
#> 20    24.00      0  46        1         0
#> 147   24.00      0  76        1         0
#> 83    24.00      0   6        0         0
#> 198   24.00      0  66        0         1
#> 131   24.00      0  66        0         0
#> 46    24.00      0  71        0         0
#> 75    24.00      0  21        1         0
#> 98    24.00      0  34        1         0
#> 148   24.00      0  61        1         0
#> 98.1  24.00      0  34        1         0
#> 34    24.00      0  36        0         0
#> 198.1 24.00      0  66        0         1
#> 98.2  24.00      0  34        1         0
#> 72    24.00      0  40        0         1
#> 116   24.00      0  58        0         1
#> 172   24.00      0  41        0         0
#> 75.1  24.00      0  21        1         0
#> 19    24.00      0  57        0         1
#> 94    24.00      0  51        0         1
#> 72.1  24.00      0  40        0         1
#> 31    24.00      0  36        0         1
#> 83.1  24.00      0   6        0         0
#> 200   24.00      0  64        0         0
#> 74    24.00      0  43        0         1
#> 138   24.00      0  44        1         0
#> 83.2  24.00      0   6        0         0
#> 95    24.00      0  68        0         1
#> 28    24.00      0  67        1         0
#> 119   24.00      0  17        0         0
#> 115   24.00      0  NA        1         0
#> 35    24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 176   24.00      0  43        0         1
#> 9     24.00      0  31        1         0
#> 19.1  24.00      0  57        0         1
#> 163   24.00      0  66        0         0
#> 198.2 24.00      0  66        0         1
#> 182   24.00      0  35        0         0
#> 146   24.00      0  63        1         0
#> 87    24.00      0  27        0         0
#> 152   24.00      0  36        0         1
#> 138.1 24.00      0  44        1         0
#> 119.1 24.00      0  17        0         0
#> 17    24.00      0  38        0         1
#> 19.2  24.00      0  57        0         1
#> 83.3  24.00      0   6        0         0
#> 196   24.00      0  19        0         0
#> 74.1  24.00      0  43        0         1
#> 103   24.00      0  56        1         0
#> 104   24.00      0  50        1         0
#> 47    24.00      0  38        0         1
#> 112   24.00      0  61        0         0
#> 182.1 24.00      0  35        0         0
#> 47.1  24.00      0  38        0         1
#> 28.1  24.00      0  67        1         0
#> 12    24.00      0  63        0         0
#> 115.1 24.00      0  NA        1         0
#> 165   24.00      0  47        0         0
#> 147.1 24.00      0  76        1         0
#> 54    24.00      0  53        1         0
#> 62    24.00      0  71        0         0
#> 156   24.00      0  50        1         0
#> 120   24.00      0  68        0         1
#> 17.1  24.00      0  38        0         1
#> 163.1 24.00      0  66        0         0
#> 172.1 24.00      0  41        0         0
#> 95.1  24.00      0  68        0         1
#> 21    24.00      0  47        0         0
#> 116.1 24.00      0  58        0         1
#> 64    24.00      0  43        0         0
#> 73    24.00      0  NA        0         1
#> 104.1 24.00      0  50        1         0
#> 74.2  24.00      0  43        0         1
#> 34.1  24.00      0  36        0         0
#> 80    24.00      0  41        0         0
#> 64.1  24.00      0  43        0         0
#> 143   24.00      0  51        0         0
#> 74.3  24.00      0  43        0         1
#> 28.2  24.00      0  67        1         0
#> 165.1 24.00      0  47        0         0
#> 95.2  24.00      0  68        0         1
#> 126   24.00      0  48        0         0
#> 196.1 24.00      0  19        0         0
#> 141   24.00      0  44        1         0
#> 20.1  24.00      0  46        1         0
#> 22.1  24.00      0  52        1         0
#> 22.2  24.00      0  52        1         0
#> 173   24.00      0  19        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.106          NA        NA      NA
#> 2 age, Cure model          0.00159        NA        NA      NA
#> 3 grade_ii, Cure model     0.0210         NA        NA      NA
#> 4 grade_iii, Cure model    0.106          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00760        NA        NA      NA
#> 2 grade_ii, Survival model   0.278          NA        NA      NA
#> 3 grade_iii, Survival model  0.0129         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.105830          0.001585          0.020976          0.106257  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.5 
#> Residual Deviance: 262.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.105830094      0.001585044      0.020976113      0.106257346 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007595313      0.278465724      0.012930742 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.368360348 0.003954139 0.094648661 0.068059241 0.033054248 0.018126143
#>   [7] 0.081305075 0.194232922 0.649815898 0.750716774 0.228155070 0.101733136
#>  [13] 0.550839941 0.583274352 0.130990868 0.012501071 0.808904502 0.001040994
#>  [19] 0.348497811 0.867886681 0.368360348 0.291643518 0.161382788 0.672168454
#>  [25] 0.426090481 0.975944425 0.975944425 0.762238109 0.237038006 0.291643518
#>  [31] 0.018126143 0.161382788 0.915816174 0.436195835 0.808904502 0.649815898
#>  [37] 0.368360348 0.043981009 0.291643518 0.358390510 0.716559171 0.529492305
#>  [43] 0.368360348 0.497748708 0.497748708 0.915816174 0.843999030 0.616325180
#>  [49] 0.785450092 0.638563022 0.518800971 0.202814926 0.561638135 0.328964716
#>  [55] 0.456437398 0.130990868 0.273395898 0.951718620 0.246003860 0.264219759
#>  [61] 0.773812244 0.915816174 0.177418921 0.033054248 0.007804696 0.672168454
#>  [67] 0.436195835 0.561638135 0.808904502 0.202814926 0.115953962 0.963835473
#>  [73] 0.027544931 0.123402400 0.605196380 0.797150807 0.273395898 0.583274352
#>  [79] 0.255122848 0.672168454 0.672168454 0.879894954 0.202814926 0.055733115
#>  [85] 0.903787213 0.416014620 0.879894954 0.529492305 0.153375435 0.074643791
#>  [91] 0.055733115 0.456437398 0.616325180 0.739220695 0.101733136 0.368360348
#>  [97] 0.456437398 0.319327964 0.043981009 0.716559171 0.487201718 0.185753292
#> [103] 0.081305075 0.130990868 0.338694920 0.855916394 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   192    78    90   139   194    63    36   179   123    37    88    68    18 
#> 16.44 23.88 20.94 21.49 22.40 22.77 21.19 18.63 13.00 12.52 18.37 20.62 15.21 
#>   133   158   164    10    24   130    61    85   111   170    14    79    25 
#> 14.65 20.14 23.60 10.53 23.89 16.47 10.12 16.44 17.45 19.54 12.89 16.23  6.32 
#>  25.1    42   108 111.1  63.1 170.1   183   188  10.1 123.1  85.1   175 111.2 
#>  6.32 12.43 18.29 17.45 22.77 19.54  9.24 16.16 10.53 13.00 16.44 21.91 17.45 
#>   181   140    29 192.1   125 125.1 183.1    52    81    43   155     6     8 
#> 16.46 12.68 15.45 16.44 15.65 15.65  9.24 10.42 14.06 12.10 13.08 15.64 18.43 
#>   157    45   100 158.1   117   149    51   184    56 183.2    76 194.1    86 
#> 15.10 17.42 16.07 20.14 17.46  8.37 18.23 17.77 12.21  9.24 19.22 22.40 23.81 
#>  14.1 188.1 157.1  10.2   8.1   128    70   169   150    13   159 117.1 133.1 
#> 12.89 16.16 15.10 10.53 18.43 20.35  7.38 22.41 20.33 14.34 10.55 17.46 14.65 
#>    40  14.2  14.3   101   8.2   197   187     5 101.1  29.1   105   153 197.1 
#> 18.00 12.89 12.89  9.97 18.43 21.60  9.92 16.43  9.97 15.45 19.75 21.33 21.60 
#> 100.1  81.1   177  68.1 192.2 100.2    30 175.1 140.1    26    97    99 158.2 
#> 16.07 14.06 12.53 20.62 16.44 16.07 17.43 21.91 12.68 15.77 19.14 21.19 20.14 
#>   171    93    20   147    83   198   131    46    75    98   148  98.1    34 
#> 16.57 10.33 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 198.1  98.2    72   116   172  75.1    19    94  72.1    31  83.1   200    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138  83.2    95    28   119    35    22   176     9  19.1   163 198.2   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146    87   152 138.1 119.1    17  19.2  83.3   196  74.1   103   104    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112 182.1  47.1  28.1    12   165 147.1    54    62   156   120  17.1 163.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.1  95.1    21 116.1    64 104.1  74.2  34.1    80  64.1   143  74.3  28.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 165.1  95.2   126 196.1   141  20.1  22.1  22.2   173 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[62]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              0.0007801303              0.6663512605              0.6109821108 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.49547731              0.01230676             -0.01301756 
#>   grade_iii, Cure model 
#>              0.45814903 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 18    15.21      1  49        1         0
#> 107   11.18      1  54        1         0
#> 183    9.24      1  67        1         0
#> 136   21.83      1  43        0         1
#> 10    10.53      1  34        0         0
#> 86    23.81      1  58        0         1
#> 177   12.53      1  75        0         0
#> 168   23.72      1  70        0         0
#> 24    23.89      1  38        0         0
#> 179   18.63      1  42        0         0
#> 139   21.49      1  63        1         0
#> 30    17.43      1  78        0         0
#> 66    22.13      1  53        0         0
#> 181   16.46      1  45        0         1
#> 107.1 11.18      1  54        1         0
#> 168.1 23.72      1  70        0         0
#> 125   15.65      1  67        1         0
#> 37    12.52      1  57        1         0
#> 24.1  23.89      1  38        0         0
#> 25     6.32      1  34        1         0
#> 123   13.00      1  44        1         0
#> 101    9.97      1  10        0         1
#> 25.1   6.32      1  34        1         0
#> 171   16.57      1  41        0         1
#> 105   19.75      1  60        0         0
#> 52    10.42      1  52        0         1
#> 169   22.41      1  46        0         0
#> 166   19.98      1  48        0         0
#> 129   23.41      1  53        1         0
#> 106   16.67      1  49        1         0
#> 155   13.08      1  26        0         0
#> 51    18.23      1  83        0         1
#> 23    16.92      1  61        0         0
#> 129.1 23.41      1  53        1         0
#> 70     7.38      1  30        1         0
#> 37.1  12.52      1  57        1         0
#> 89    11.44      1  NA        0         0
#> 180   14.82      1  37        0         0
#> 197   21.60      1  69        1         0
#> 85    16.44      1  36        0         0
#> 49    12.19      1  48        1         0
#> 24.2  23.89      1  38        0         0
#> 188   16.16      1  46        0         1
#> 23.1  16.92      1  61        0         0
#> 56    12.21      1  60        0         0
#> 4     17.64      1  NA        0         1
#> 157   15.10      1  47        0         0
#> 110   17.56      1  65        0         1
#> 175   21.91      1  43        0         0
#> 170   19.54      1  43        0         1
#> 92    22.92      1  47        0         1
#> 43    12.10      1  61        0         1
#> 39    15.59      1  37        0         1
#> 171.1 16.57      1  41        0         1
#> 111   17.45      1  47        0         1
#> 30.1  17.43      1  78        0         0
#> 90    20.94      1  50        0         1
#> 68    20.62      1  44        0         0
#> 184   17.77      1  38        0         0
#> 14    12.89      1  21        0         0
#> 13    14.34      1  54        0         1
#> 189   10.51      1  NA        1         0
#> 129.2 23.41      1  53        1         0
#> 77     7.27      1  67        0         1
#> 70.1   7.38      1  30        1         0
#> 26    15.77      1  49        0         1
#> 184.1 17.77      1  38        0         0
#> 159   10.55      1  50        0         1
#> 130   16.47      1  53        0         1
#> 32    20.90      1  37        1         0
#> 184.2 17.77      1  38        0         0
#> 15    22.68      1  48        0         0
#> 175.1 21.91      1  43        0         0
#> 60    13.15      1  38        1         0
#> 32.1  20.90      1  37        1         0
#> 58    19.34      1  39        0         0
#> 123.1 13.00      1  44        1         0
#> 91     5.33      1  61        0         1
#> 134   17.81      1  47        1         0
#> 155.1 13.08      1  26        0         0
#> 23.2  16.92      1  61        0         0
#> 190   20.81      1  42        1         0
#> 92.1  22.92      1  47        0         1
#> 114   13.68      1  NA        0         0
#> 42    12.43      1  49        0         1
#> 187    9.92      1  39        1         0
#> 134.1 17.81      1  47        1         0
#> 15.1  22.68      1  48        0         0
#> 13.1  14.34      1  54        0         1
#> 57    14.46      1  45        0         1
#> 117   17.46      1  26        0         1
#> 167   15.55      1  56        1         0
#> 69    23.23      1  25        0         1
#> 177.1 12.53      1  75        0         0
#> 96    14.54      1  33        0         1
#> 14.1  12.89      1  21        0         0
#> 192   16.44      1  31        1         0
#> 184.3 17.77      1  38        0         0
#> 130.1 16.47      1  53        0         1
#> 78    23.88      1  43        0         0
#> 45    17.42      1  54        0         1
#> 136.1 21.83      1  43        0         1
#> 43.1  12.10      1  61        0         1
#> 13.2  14.34      1  54        0         1
#> 199   19.81      1  NA        0         1
#> 32.2  20.90      1  37        1         0
#> 150   20.33      1  48        0         0
#> 188.1 16.16      1  46        0         1
#> 133   14.65      1  57        0         0
#> 107.2 11.18      1  54        1         0
#> 26.1  15.77      1  49        0         1
#> 24.3  23.89      1  38        0         0
#> 143   24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 48    24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 27    24.00      0  63        1         0
#> 160.1 24.00      0  31        1         0
#> 131   24.00      0  66        0         0
#> 73    24.00      0  NA        0         1
#> 132   24.00      0  55        0         0
#> 198   24.00      0  66        0         1
#> 83    24.00      0   6        0         0
#> 131.1 24.00      0  66        0         0
#> 126   24.00      0  48        0         0
#> 120   24.00      0  68        0         1
#> 46    24.00      0  71        0         0
#> 67    24.00      0  25        0         0
#> 116   24.00      0  58        0         1
#> 98    24.00      0  34        1         0
#> 53.1  24.00      0  32        0         1
#> 152   24.00      0  36        0         1
#> 104   24.00      0  50        1         0
#> 80    24.00      0  41        0         0
#> 176   24.00      0  43        0         1
#> 104.1 24.00      0  50        1         0
#> 62    24.00      0  71        0         0
#> 148   24.00      0  61        1         0
#> 196   24.00      0  19        0         0
#> 143.1 24.00      0  51        0         0
#> 98.1  24.00      0  34        1         0
#> 146   24.00      0  63        1         0
#> 163   24.00      0  66        0         0
#> 35    24.00      0  51        0         0
#> 47    24.00      0  38        0         1
#> 17    24.00      0  38        0         1
#> 67.1  24.00      0  25        0         0
#> 185   24.00      0  44        1         0
#> 131.2 24.00      0  66        0         0
#> 144   24.00      0  28        0         1
#> 172   24.00      0  41        0         0
#> 48.1  24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 21    24.00      0  47        0         0
#> 33    24.00      0  53        0         0
#> 7     24.00      0  37        1         0
#> 7.1   24.00      0  37        1         0
#> 1     24.00      0  23        1         0
#> 103   24.00      0  56        1         0
#> 104.2 24.00      0  50        1         0
#> 72    24.00      0  40        0         1
#> 151   24.00      0  42        0         0
#> 148.1 24.00      0  61        1         0
#> 12    24.00      0  63        0         0
#> 28    24.00      0  67        1         0
#> 71    24.00      0  51        0         0
#> 54    24.00      0  53        1         0
#> 196.1 24.00      0  19        0         0
#> 87    24.00      0  27        0         0
#> 34    24.00      0  36        0         0
#> 131.3 24.00      0  66        0         0
#> 64    24.00      0  43        0         0
#> 83.1  24.00      0   6        0         0
#> 20    24.00      0  46        1         0
#> 137   24.00      0  45        1         0
#> 34.1  24.00      0  36        0         0
#> 138   24.00      0  44        1         0
#> 80.1  24.00      0  41        0         0
#> 109   24.00      0  48        0         0
#> 34.2  24.00      0  36        0         0
#> 178   24.00      0  52        1         0
#> 176.1 24.00      0  43        0         1
#> 116.1 24.00      0  58        0         1
#> 80.2  24.00      0  41        0         0
#> 28.1  24.00      0  67        1         0
#> 11    24.00      0  42        0         1
#> 161   24.00      0  45        0         0
#> 84    24.00      0  39        0         1
#> 185.1 24.00      0  44        1         0
#> 19    24.00      0  57        0         1
#> 98.2  24.00      0  34        1         0
#> 94    24.00      0  51        0         1
#> 141   24.00      0  44        1         0
#> 122   24.00      0  66        0         0
#> 109.1 24.00      0  48        0         0
#> 31    24.00      0  36        0         1
#> 19.1  24.00      0  57        0         1
#> 31.1  24.00      0  36        0         1
#> 176.2 24.00      0  43        0         1
#> 44    24.00      0  56        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.495         NA        NA      NA
#> 2 age, Cure model           0.0123        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0130        NA        NA      NA
#> 4 grade_iii, Cure model     0.458         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000780        NA        NA      NA
#> 2 grade_ii, Survival model  0.666           NA        NA      NA
#> 3 grade_iii, Survival model 0.611           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.49548           0.01231          -0.01302           0.45815  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.9 
#> Residual Deviance: 263.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.49547731       0.01230676      -0.01301756       0.45814903 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     0.0007801303     0.6663512605     0.6109821108 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.74450899 0.91038348 0.95909416 0.33818252 0.93484251 0.13076871
#>   [7] 0.85268994 0.15060095 0.04079802 0.48706996 0.37178138 0.58232032
#>  [13] 0.30195926 0.67088280 0.91038348 0.15060095 0.72302328 0.86576891
#>  [19] 0.04079802 0.98268362 0.82650444 0.94703894 0.98268362 0.63966140
#>  [25] 0.45913867 0.94095887 0.28968404 0.44970479 0.18719693 0.63153938
#>  [31] 0.81319598 0.49631470 0.60716888 0.18719693 0.96506325 0.86576891
#>  [37] 0.75855603 0.36070775 0.67856683 0.89148292 0.04079802 0.69367385
#>  [43] 0.60716888 0.88506578 0.75153373 0.55685963 0.31421352 0.46856327
#>  [49] 0.24146896 0.89785321 0.73025131 0.63966140 0.57394648 0.58232032
#>  [55] 0.38252072 0.43081422 0.52276506 0.83959887 0.78646024 0.18719693
#>  [61] 0.97682050 0.96506325 0.70848746 0.52276506 0.92872507 0.65544309
#>  [67] 0.39299098 0.52276506 0.26561746 0.31421352 0.80651205 0.39299098
#>  [73] 0.47781938 0.82650444 0.99423748 0.50539613 0.81319598 0.60716888
#>  [79] 0.42135784 0.24146896 0.87864642 0.95308575 0.50539613 0.26561746
#>  [85] 0.78646024 0.77955506 0.56545985 0.73741578 0.22780004 0.85268994
#>  [91] 0.77259388 0.83959887 0.67856683 0.52276506 0.65544309 0.10770799
#>  [97] 0.59891788 0.33818252 0.89785321 0.78646024 0.39299098 0.44026337
#> [103] 0.69367385 0.76557642 0.91038348 0.70848746 0.04079802 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000 0.00000000
#> 
#> $Time
#>    18   107   183   136    10    86   177   168    24   179   139    30    66 
#> 15.21 11.18  9.24 21.83 10.53 23.81 12.53 23.72 23.89 18.63 21.49 17.43 22.13 
#>   181 107.1 168.1   125    37  24.1    25   123   101  25.1   171   105    52 
#> 16.46 11.18 23.72 15.65 12.52 23.89  6.32 13.00  9.97  6.32 16.57 19.75 10.42 
#>   169   166   129   106   155    51    23 129.1    70  37.1   180   197    85 
#> 22.41 19.98 23.41 16.67 13.08 18.23 16.92 23.41  7.38 12.52 14.82 21.60 16.44 
#>    49  24.2   188  23.1    56   157   110   175   170    92    43    39 171.1 
#> 12.19 23.89 16.16 16.92 12.21 15.10 17.56 21.91 19.54 22.92 12.10 15.59 16.57 
#>   111  30.1    90    68   184    14    13 129.2    77  70.1    26 184.1   159 
#> 17.45 17.43 20.94 20.62 17.77 12.89 14.34 23.41  7.27  7.38 15.77 17.77 10.55 
#>   130    32 184.2    15 175.1    60  32.1    58 123.1    91   134 155.1  23.2 
#> 16.47 20.90 17.77 22.68 21.91 13.15 20.90 19.34 13.00  5.33 17.81 13.08 16.92 
#>   190  92.1    42   187 134.1  15.1  13.1    57   117   167    69 177.1    96 
#> 20.81 22.92 12.43  9.92 17.81 22.68 14.34 14.46 17.46 15.55 23.23 12.53 14.54 
#>  14.1   192 184.3 130.1    78    45 136.1  43.1  13.2  32.2   150 188.1   133 
#> 12.89 16.44 17.77 16.47 23.88 17.42 21.83 12.10 14.34 20.90 20.33 16.16 14.65 
#> 107.2  26.1  24.3   143   160    48    53    27 160.1   131   132   198    83 
#> 11.18 15.77 23.89 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.1   126   120    46    67   116    98  53.1   152   104    80   176 104.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62   148   196 143.1  98.1   146   163    35    47    17  67.1   185 131.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144   172  48.1   174    21    33     7   7.1     1   103 104.2    72   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.1    12    28    71    54 196.1    87    34 131.3    64  83.1    20   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.1   138  80.1   109  34.2   178 176.1 116.1  80.2  28.1    11   161    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 185.1    19  98.2    94   141   122 109.1    31  19.1  31.1 176.2    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[63]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01487350                0.71037149               -0.02722386 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.395630862             0.003418382             0.403002292 
#>   grade_iii, Cure model 
#>             1.002242311 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 29    15.45      1  68        1         0
#> 145   10.07      1  65        1         0
#> 134   17.81      1  47        1         0
#> 10    10.53      1  34        0         0
#> 52    10.42      1  52        0         1
#> 69    23.23      1  25        0         1
#> 85    16.44      1  36        0         0
#> 61    10.12      1  36        0         1
#> 59    10.16      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 76    19.22      1  54        0         1
#> 8     18.43      1  32        0         0
#> 91     5.33      1  61        0         1
#> 76.1  19.22      1  54        0         1
#> 123   13.00      1  44        1         0
#> 61.1  10.12      1  36        0         1
#> 16     8.71      1  71        0         1
#> 89    11.44      1  NA        0         0
#> 32    20.90      1  37        1         0
#> 183    9.24      1  67        1         0
#> 69.1  23.23      1  25        0         1
#> 197   21.60      1  69        1         0
#> 13    14.34      1  54        0         1
#> 170   19.54      1  43        0         1
#> 15    22.68      1  48        0         0
#> 113   22.86      1  34        0         0
#> 36    21.19      1  48        0         1
#> 29.1  15.45      1  68        1         0
#> 192   16.44      1  31        1         0
#> 114   13.68      1  NA        0         0
#> 149    8.37      1  33        1         0
#> 164   23.60      1  76        0         1
#> 184   17.77      1  38        0         0
#> 136   21.83      1  43        0         1
#> 92    22.92      1  47        0         1
#> 179   18.63      1  42        0         0
#> 149.1  8.37      1  33        1         0
#> 6     15.64      1  39        0         0
#> 108   18.29      1  39        0         1
#> 39    15.59      1  37        0         1
#> 92.1  22.92      1  47        0         1
#> 61.2  10.12      1  36        0         1
#> 15.1  22.68      1  48        0         0
#> 164.1 23.60      1  76        0         1
#> 81    14.06      1  34        0         0
#> 99    21.19      1  38        0         1
#> 128   20.35      1  35        0         1
#> 85.1  16.44      1  36        0         0
#> 24    23.89      1  38        0         0
#> 150   20.33      1  48        0         0
#> 128.1 20.35      1  35        0         1
#> 77     7.27      1  67        0         1
#> 70     7.38      1  30        1         0
#> 81.1  14.06      1  34        0         0
#> 56    12.21      1  60        0         0
#> 117   17.46      1  26        0         1
#> 133   14.65      1  57        0         0
#> 49    12.19      1  48        1         0
#> 96    14.54      1  33        0         1
#> 8.1   18.43      1  32        0         0
#> 41    18.02      1  40        1         0
#> 194   22.40      1  38        0         1
#> 145.1 10.07      1  65        1         0
#> 90    20.94      1  50        0         1
#> 190   20.81      1  42        1         0
#> 197.1 21.60      1  69        1         0
#> 190.1 20.81      1  42        1         0
#> 107   11.18      1  54        1         0
#> 117.1 17.46      1  26        0         1
#> 192.1 16.44      1  31        1         0
#> 18    15.21      1  49        1         0
#> 41.1  18.02      1  40        1         0
#> 57    14.46      1  45        0         1
#> 6.1   15.64      1  39        0         0
#> 130   16.47      1  53        0         1
#> 153   21.33      1  55        1         0
#> 195   11.76      1  NA        1         0
#> 105.1 19.75      1  60        0         0
#> 10.1  10.53      1  34        0         0
#> 36.1  21.19      1  48        0         1
#> 139   21.49      1  63        1         0
#> 58    19.34      1  39        0         0
#> 16.1   8.71      1  71        0         1
#> 199   19.81      1  NA        0         1
#> 39.1  15.59      1  37        0         1
#> 86    23.81      1  58        0         1
#> 164.2 23.60      1  76        0         1
#> 8.2   18.43      1  32        0         0
#> 93    10.33      1  52        0         1
#> 167   15.55      1  56        1         0
#> 25     6.32      1  34        1         0
#> 45    17.42      1  54        0         1
#> 164.3 23.60      1  76        0         1
#> 23    16.92      1  61        0         0
#> 49.1  12.19      1  48        1         0
#> 32.1  20.90      1  37        1         0
#> 180   14.82      1  37        0         0
#> 192.2 16.44      1  31        1         0
#> 37    12.52      1  57        1         0
#> 179.1 18.63      1  42        0         0
#> 113.1 22.86      1  34        0         0
#> 158   20.14      1  74        1         0
#> 124    9.73      1  NA        1         0
#> 170.1 19.54      1  43        0         1
#> 36.2  21.19      1  48        0         1
#> 79    16.23      1  54        1         0
#> 150.1 20.33      1  48        0         0
#> 117.2 17.46      1  26        0         1
#> 43    12.10      1  61        0         1
#> 168   23.72      1  70        0         0
#> 8.3   18.43      1  32        0         0
#> 70.1   7.38      1  30        1         0
#> 35    24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 196   24.00      0  19        0         0
#> 103   24.00      0  56        1         0
#> 46    24.00      0  71        0         0
#> 31    24.00      0  36        0         1
#> 200   24.00      0  64        0         0
#> 54    24.00      0  53        1         0
#> 122   24.00      0  66        0         0
#> 119   24.00      0  17        0         0
#> 196.1 24.00      0  19        0         0
#> 165   24.00      0  47        0         0
#> 84    24.00      0  39        0         1
#> 44    24.00      0  56        0         0
#> 82    24.00      0  34        0         0
#> 121   24.00      0  57        1         0
#> 126   24.00      0  48        0         0
#> 160   24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 185   24.00      0  44        1         0
#> 176   24.00      0  43        0         1
#> 53    24.00      0  32        0         1
#> 161.1 24.00      0  45        0         0
#> 53.1  24.00      0  32        0         1
#> 118   24.00      0  44        1         0
#> 46.1  24.00      0  71        0         0
#> 174   24.00      0  49        1         0
#> 115   24.00      0  NA        1         0
#> 75    24.00      0  21        1         0
#> 47    24.00      0  38        0         1
#> 19.1  24.00      0  57        0         1
#> 62    24.00      0  71        0         0
#> 118.1 24.00      0  44        1         0
#> 20    24.00      0  46        1         0
#> 162   24.00      0  51        0         0
#> 64    24.00      0  43        0         0
#> 72    24.00      0  40        0         1
#> 74    24.00      0  43        0         1
#> 112   24.00      0  61        0         0
#> 1     24.00      0  23        1         0
#> 120   24.00      0  68        0         1
#> 73    24.00      0  NA        0         1
#> 84.1  24.00      0  39        0         1
#> 138   24.00      0  44        1         0
#> 103.1 24.00      0  56        1         0
#> 98    24.00      0  34        1         0
#> 102   24.00      0  49        0         0
#> 31.1  24.00      0  36        0         1
#> 12    24.00      0  63        0         0
#> 53.2  24.00      0  32        0         1
#> 1.1   24.00      0  23        1         0
#> 151   24.00      0  42        0         0
#> 146   24.00      0  63        1         0
#> 20.1  24.00      0  46        1         0
#> 196.2 24.00      0  19        0         0
#> 82.1  24.00      0  34        0         0
#> 62.1  24.00      0  71        0         0
#> 3     24.00      0  31        1         0
#> 103.2 24.00      0  56        1         0
#> 71    24.00      0  51        0         0
#> 112.1 24.00      0  61        0         0
#> 75.1  24.00      0  21        1         0
#> 156   24.00      0  50        1         0
#> 44.1  24.00      0  56        0         0
#> 54.1  24.00      0  53        1         0
#> 74.1  24.00      0  43        0         1
#> 160.1 24.00      0  31        1         0
#> 98.1  24.00      0  34        1         0
#> 131   24.00      0  66        0         0
#> 142   24.00      0  53        0         0
#> 17    24.00      0  38        0         1
#> 48    24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 142.1 24.00      0  53        0         0
#> 182   24.00      0  35        0         0
#> 22    24.00      0  52        1         0
#> 122.1 24.00      0  66        0         0
#> 67    24.00      0  25        0         0
#> 143   24.00      0  51        0         0
#> 19.2  24.00      0  57        0         1
#> 47.1  24.00      0  38        0         1
#> 126.1 24.00      0  48        0         0
#> 148   24.00      0  61        1         0
#> 191   24.00      0  60        0         1
#> 94    24.00      0  51        0         1
#> 142.2 24.00      0  53        0         0
#> 46.2  24.00      0  71        0         0
#> 7     24.00      0  37        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.396          NA        NA      NA
#> 2 age, Cure model          0.00342        NA        NA      NA
#> 3 grade_ii, Cure model     0.403          NA        NA      NA
#> 4 grade_iii, Cure model    1.00           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0149        NA        NA      NA
#> 2 grade_ii, Survival model    0.710         NA        NA      NA
#> 3 grade_iii, Survival model  -0.0272        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.395631          0.003418          0.403002          1.002242  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 256.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.395630862      0.003418382      0.403002292      1.002242311 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01487350       0.71037149      -0.02722386 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 5.287036e-01 8.329891e-01 3.213623e-01 7.397175e-01 7.658259e-01
#>   [6] 8.314720e-03 4.066720e-01 7.925388e-01 1.719627e-01 2.145076e-01
#>  [11] 2.519063e-01 9.858793e-01 2.145076e-01 6.501713e-01 7.925388e-01
#>  [16] 8.742436e-01 1.061921e-01 8.603814e-01 8.314720e-03 4.933999e-02
#>  [21] 6.126062e-01 1.884010e-01 2.886884e-02 2.080372e-02 7.307260e-02
#>  [26] 5.287036e-01 4.066720e-01 9.023330e-01 1.773578e-03 3.316541e-01
#>  [31] 4.364281e-02 1.382977e-02 2.328580e-01 9.023330e-01 4.712256e-01
#>  [36] 2.907071e-01 4.938727e-01 1.382977e-02 7.925388e-01 2.886884e-02
#>  [41] 1.773578e-03 6.250796e-01 7.307260e-02 1.341479e-01 4.066720e-01
#>  [46] 5.186885e-05 1.486909e-01 1.341479e-01 9.578355e-01 9.302094e-01
#>  [51] 6.250796e-01 6.755126e-01 3.420858e-01 5.759638e-01 6.883410e-01
#>  [56] 5.880683e-01 2.519063e-01 3.011010e-01 3.828640e-02 8.329891e-01
#>  [61] 9.874257e-02 1.202417e-01 4.933999e-02 1.202417e-01 7.267296e-01
#>  [66] 3.420858e-01 4.066720e-01 5.521487e-01 3.011010e-01 6.002743e-01
#>  [71] 4.712256e-01 3.953937e-01 6.688576e-02 1.719627e-01 7.397175e-01
#>  [76] 7.307260e-02 6.075714e-02 2.055687e-01 8.742436e-01 4.938727e-01
#>  [81] 3.014203e-04 1.773578e-03 2.519063e-01 7.791193e-01 5.169848e-01
#>  [86] 9.718804e-01 3.733783e-01 1.773578e-03 3.842920e-01 6.883410e-01
#>  [91] 1.061921e-01 5.640031e-01 4.066720e-01 6.628264e-01 2.328580e-01
#>  [96] 2.080372e-02 1.639984e-01 1.884010e-01 7.307260e-02 4.600031e-01
#> [101] 1.486909e-01 3.420858e-01 7.137623e-01 8.371516e-04 2.519063e-01
#> [106] 9.302094e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [191] 0.000000e+00 0.000000e+00
#> 
#> $Time
#>    29   145   134    10    52    69    85    61   105    76     8    91  76.1 
#> 15.45 10.07 17.81 10.53 10.42 23.23 16.44 10.12 19.75 19.22 18.43  5.33 19.22 
#>   123  61.1    16    32   183  69.1   197    13   170    15   113    36  29.1 
#> 13.00 10.12  8.71 20.90  9.24 23.23 21.60 14.34 19.54 22.68 22.86 21.19 15.45 
#>   192   149   164   184   136    92   179 149.1     6   108    39  92.1  61.2 
#> 16.44  8.37 23.60 17.77 21.83 22.92 18.63  8.37 15.64 18.29 15.59 22.92 10.12 
#>  15.1 164.1    81    99   128  85.1    24   150 128.1    77    70  81.1    56 
#> 22.68 23.60 14.06 21.19 20.35 16.44 23.89 20.33 20.35  7.27  7.38 14.06 12.21 
#>   117   133    49    96   8.1    41   194 145.1    90   190 197.1 190.1   107 
#> 17.46 14.65 12.19 14.54 18.43 18.02 22.40 10.07 20.94 20.81 21.60 20.81 11.18 
#> 117.1 192.1    18  41.1    57   6.1   130   153 105.1  10.1  36.1   139    58 
#> 17.46 16.44 15.21 18.02 14.46 15.64 16.47 21.33 19.75 10.53 21.19 21.49 19.34 
#>  16.1  39.1    86 164.2   8.2    93   167    25    45 164.3    23  49.1  32.1 
#>  8.71 15.59 23.81 23.60 18.43 10.33 15.55  6.32 17.42 23.60 16.92 12.19 20.90 
#>   180 192.2    37 179.1 113.1   158 170.1  36.2    79 150.1 117.2    43   168 
#> 14.82 16.44 12.52 18.63 22.86 20.14 19.54 21.19 16.23 20.33 17.46 12.10 23.72 
#>   8.3  70.1    35    19   196   103    46    31   200    54   122   119 196.1 
#> 18.43  7.38 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165    84    44    82   121   126   160   161   185   176    53 161.1  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118  46.1   174    75    47  19.1    62 118.1    20   162    64    72    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112     1   120  84.1   138 103.1    98   102  31.1    12  53.2   1.1   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146  20.1 196.2  82.1  62.1     3 103.2    71 112.1  75.1   156  44.1  54.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  74.1 160.1  98.1   131   142    17    48   172 142.1   182    22 122.1    67 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143  19.2  47.1 126.1   148   191    94 142.2  46.2     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[64]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00509996                0.10012264               -0.12397963 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.647161189             0.008733458             0.122997043 
#>   grade_iii, Cure model 
#>             1.157257415 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 177   12.53      1  75        0         0
#> 188   16.16      1  46        0         1
#> 197   21.60      1  69        1         0
#> 129   23.41      1  53        1         0
#> 123   13.00      1  44        1         0
#> 69    23.23      1  25        0         1
#> 18    15.21      1  49        1         0
#> 136   21.83      1  43        0         1
#> 60    13.15      1  38        1         0
#> 189   10.51      1  NA        1         0
#> 97    19.14      1  65        0         1
#> 52    10.42      1  52        0         1
#> 56    12.21      1  60        0         0
#> 188.1 16.16      1  46        0         1
#> 29    15.45      1  68        1         0
#> 110   17.56      1  65        0         1
#> 158   20.14      1  74        1         0
#> 139   21.49      1  63        1         0
#> 70     7.38      1  30        1         0
#> 81    14.06      1  34        0         0
#> 42    12.43      1  49        0         1
#> 4     17.64      1  NA        0         1
#> 150   20.33      1  48        0         0
#> 37    12.52      1  57        1         0
#> 14    12.89      1  21        0         0
#> 4.1   17.64      1  NA        0         1
#> 105   19.75      1  60        0         0
#> 60.1  13.15      1  38        1         0
#> 157   15.10      1  47        0         0
#> 81.1  14.06      1  34        0         0
#> 97.1  19.14      1  65        0         1
#> 195   11.76      1  NA        1         0
#> 164   23.60      1  76        0         1
#> 36    21.19      1  48        0         1
#> 10    10.53      1  34        0         0
#> 32    20.90      1  37        1         0
#> 10.1  10.53      1  34        0         0
#> 93    10.33      1  52        0         1
#> 10.2  10.53      1  34        0         0
#> 10.3  10.53      1  34        0         0
#> 106   16.67      1  49        1         0
#> 90    20.94      1  50        0         1
#> 106.1 16.67      1  49        1         0
#> 134   17.81      1  47        1         0
#> 180   14.82      1  37        0         0
#> 10.4  10.53      1  34        0         0
#> 153   21.33      1  55        1         0
#> 89    11.44      1  NA        0         0
#> 175   21.91      1  43        0         0
#> 188.2 16.16      1  46        0         1
#> 154   12.63      1  20        1         0
#> 36.1  21.19      1  48        0         1
#> 145   10.07      1  65        1         0
#> 57    14.46      1  45        0         1
#> 42.1  12.43      1  49        0         1
#> 124    9.73      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 24    23.89      1  38        0         0
#> 91.1   5.33      1  61        0         1
#> 168   23.72      1  70        0         0
#> 69.1  23.23      1  25        0         1
#> 43    12.10      1  61        0         1
#> 15    22.68      1  48        0         0
#> 139.1 21.49      1  63        1         0
#> 177.1 12.53      1  75        0         0
#> 127    3.53      1  62        0         1
#> 97.2  19.14      1  65        0         1
#> 40    18.00      1  28        1         0
#> 97.3  19.14      1  65        0         1
#> 29.1  15.45      1  68        1         0
#> 51    18.23      1  83        0         1
#> 92    22.92      1  47        0         1
#> 139.2 21.49      1  63        1         0
#> 167   15.55      1  56        1         0
#> 153.1 21.33      1  55        1         0
#> 114   13.68      1  NA        0         0
#> 14.1  12.89      1  21        0         0
#> 89.1  11.44      1  NA        0         0
#> 194   22.40      1  38        0         1
#> 92.1  22.92      1  47        0         1
#> 189.1 10.51      1  NA        1         0
#> 32.1  20.90      1  37        1         0
#> 166   19.98      1  48        0         0
#> 129.1 23.41      1  53        1         0
#> 123.1 13.00      1  44        1         0
#> 93.1  10.33      1  52        0         1
#> 59    10.16      1  NA        1         0
#> 134.1 17.81      1  47        1         0
#> 128   20.35      1  35        0         1
#> 55    19.34      1  69        0         1
#> 155   13.08      1  26        0         0
#> 183    9.24      1  67        1         0
#> 189.2 10.51      1  NA        1         0
#> 197.1 21.60      1  69        1         0
#> 69.2  23.23      1  25        0         1
#> 36.2  21.19      1  48        0         1
#> 101    9.97      1  10        0         1
#> 180.1 14.82      1  37        0         0
#> 166.1 19.98      1  48        0         0
#> 24.1  23.89      1  38        0         0
#> 68    20.62      1  44        0         0
#> 133   14.65      1  57        0         0
#> 111   17.45      1  47        0         1
#> 14.2  12.89      1  21        0         0
#> 136.1 21.83      1  43        0         1
#> 149    8.37      1  33        1         0
#> 86    23.81      1  58        0         1
#> 6     15.64      1  39        0         0
#> 42.2  12.43      1  49        0         1
#> 111.1 17.45      1  47        0         1
#> 105.1 19.75      1  60        0         0
#> 136.2 21.83      1  43        0         1
#> 162   24.00      0  51        0         0
#> 53    24.00      0  32        0         1
#> 104   24.00      0  50        1         0
#> 82    24.00      0  34        0         0
#> 173   24.00      0  19        0         1
#> 1     24.00      0  23        1         0
#> 122   24.00      0  66        0         0
#> 143   24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 143.1 24.00      0  51        0         0
#> 38    24.00      0  31        1         0
#> 132   24.00      0  55        0         0
#> 21    24.00      0  47        0         0
#> 33    24.00      0  53        0         0
#> 122.1 24.00      0  66        0         0
#> 196   24.00      0  19        0         0
#> 46    24.00      0  71        0         0
#> 163   24.00      0  66        0         0
#> 62    24.00      0  71        0         0
#> 3     24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 1.1   24.00      0  23        1         0
#> 176   24.00      0  43        0         1
#> 28    24.00      0  67        1         0
#> 178   24.00      0  52        1         0
#> 46.1  24.00      0  71        0         0
#> 22    24.00      0  52        1         0
#> 104.1 24.00      0  50        1         0
#> 54    24.00      0  53        1         0
#> 21.1  24.00      0  47        0         0
#> 34    24.00      0  36        0         0
#> 173.1 24.00      0  19        0         1
#> 176.1 24.00      0  43        0         1
#> 174   24.00      0  49        1         0
#> 38.1  24.00      0  31        1         0
#> 46.2  24.00      0  71        0         0
#> 131   24.00      0  66        0         0
#> 118   24.00      0  44        1         0
#> 156   24.00      0  50        1         0
#> 46.3  24.00      0  71        0         0
#> 67    24.00      0  25        0         0
#> 148   24.00      0  61        1         0
#> 11    24.00      0  42        0         1
#> 54.1  24.00      0  53        1         0
#> 17.1  24.00      0  38        0         1
#> 46.4  24.00      0  71        0         0
#> 94    24.00      0  51        0         1
#> 200   24.00      0  64        0         0
#> 147   24.00      0  76        1         0
#> 87    24.00      0  27        0         0
#> 83    24.00      0   6        0         0
#> 121   24.00      0  57        1         0
#> 126   24.00      0  48        0         0
#> 141   24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 64    24.00      0  43        0         0
#> 21.2  24.00      0  47        0         0
#> 193.1 24.00      0  45        0         1
#> 38.2  24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 65    24.00      0  57        1         0
#> 64.1  24.00      0  43        0         0
#> 193.2 24.00      0  45        0         1
#> 126.1 24.00      0  48        0         0
#> 48    24.00      0  31        1         0
#> 156.1 24.00      0  50        1         0
#> 152   24.00      0  36        0         1
#> 173.2 24.00      0  19        0         1
#> 151   24.00      0  42        0         0
#> 147.1 24.00      0  76        1         0
#> 72    24.00      0  40        0         1
#> 118.1 24.00      0  44        1         0
#> 178.1 24.00      0  52        1         0
#> 64.2  24.00      0  43        0         0
#> 142   24.00      0  53        0         0
#> 126.2 24.00      0  48        0         0
#> 71    24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 147.2 24.00      0  76        1         0
#> 151.1 24.00      0  42        0         0
#> 35    24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 28.1  24.00      0  67        1         0
#> 178.2 24.00      0  52        1         0
#> 20    24.00      0  46        1         0
#> 172   24.00      0  41        0         0
#> 48.1  24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.647          NA        NA      NA
#> 2 age, Cure model          0.00873        NA        NA      NA
#> 3 grade_ii, Cure model     0.123          NA        NA      NA
#> 4 grade_iii, Cure model    1.16           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00510        NA        NA      NA
#> 2 grade_ii, Survival model   0.100          NA        NA      NA
#> 3 grade_iii, Survival model -0.124          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.647161          0.008733          0.122997          1.157257  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    261.1 
#> Residual Deviance: 249.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.647161189      0.008733458      0.122997043      1.157257415 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00509996       0.10012264      -0.12397963 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.707462501 0.436137353 0.110364733 0.024585347 0.638058159 0.035878448
#>   [7] 0.512666198 0.088309579 0.603469809 0.302804596 0.862327700 0.778396652
#>  [13] 0.436137353 0.490515840 0.383181607 0.245938065 0.126093543 0.949490705
#>  [19] 0.580578225 0.742821518 0.236657282 0.730949013 0.661181697 0.273986303
#>  [25] 0.603469809 0.523897795 0.580578225 0.302804596 0.018628522 0.166345850
#>  [31] 0.802648459 0.200661302 0.802648459 0.874665034 0.802648459 0.802648459
#>  [37] 0.414852751 0.191682769 0.414852751 0.362600459 0.535180954 0.802648459
#>  [43] 0.149796787 0.080848128 0.436137353 0.695744849 0.166345850 0.899388982
#>  [49] 0.569090221 0.742821518 0.962058114 0.002570631 0.962058114 0.013354755
#>  [55] 0.035878448 0.790489744 0.066386324 0.126093543 0.707462501 0.987259548
#>  [61] 0.302804596 0.352237466 0.302804596 0.490515840 0.341887215 0.053176859
#>  [67] 0.126093543 0.479423569 0.149796787 0.661181697 0.073520231 0.053176859
#>  [73] 0.200661302 0.255304471 0.024585347 0.638058159 0.874665034 0.362600459
#>  [79] 0.227454895 0.293010461 0.626439403 0.924384102 0.110364733 0.035878448
#>  [85] 0.166345850 0.911872793 0.535180954 0.255304471 0.002570631 0.218348708
#>  [91] 0.557670861 0.393719176 0.661181697 0.088309579 0.936931860 0.008653840
#>  [97] 0.468374585 0.742821518 0.393719176 0.273986303 0.088309579 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   177   188   197   129   123    69    18   136    60    97    52    56 188.1 
#> 12.53 16.16 21.60 23.41 13.00 23.23 15.21 21.83 13.15 19.14 10.42 12.21 16.16 
#>    29   110   158   139    70    81    42   150    37    14   105  60.1   157 
#> 15.45 17.56 20.14 21.49  7.38 14.06 12.43 20.33 12.52 12.89 19.75 13.15 15.10 
#>  81.1  97.1   164    36    10    32  10.1    93  10.2  10.3   106    90 106.1 
#> 14.06 19.14 23.60 21.19 10.53 20.90 10.53 10.33 10.53 10.53 16.67 20.94 16.67 
#>   134   180  10.4   153   175 188.2   154  36.1   145    57  42.1    91    24 
#> 17.81 14.82 10.53 21.33 21.91 16.16 12.63 21.19 10.07 14.46 12.43  5.33 23.89 
#>  91.1   168  69.1    43    15 139.1 177.1   127  97.2    40  97.3  29.1    51 
#>  5.33 23.72 23.23 12.10 22.68 21.49 12.53  3.53 19.14 18.00 19.14 15.45 18.23 
#>    92 139.2   167 153.1  14.1   194  92.1  32.1   166 129.1 123.1  93.1 134.1 
#> 22.92 21.49 15.55 21.33 12.89 22.40 22.92 20.90 19.98 23.41 13.00 10.33 17.81 
#>   128    55   155   183 197.1  69.2  36.2   101 180.1 166.1  24.1    68   133 
#> 20.35 19.34 13.08  9.24 21.60 23.23 21.19  9.97 14.82 19.98 23.89 20.62 14.65 
#>   111  14.2 136.1   149    86     6  42.2 111.1 105.1 136.2   162    53   104 
#> 17.45 12.89 21.83  8.37 23.81 15.64 12.43 17.45 19.75 21.83 24.00 24.00 24.00 
#>    82   173     1   122   143    17 143.1    38   132    21    33 122.1   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46   163    62     3   193   1.1   176    28   178  46.1    22 104.1    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  21.1    34 173.1 176.1   174  38.1  46.2   131   118   156  46.3    67   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11  54.1  17.1  46.4    94   200   147    87    83   121   126   141     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64  21.2 193.1  38.2   137    65  64.1 193.2 126.1    48 156.1   152 173.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151 147.1    72 118.1 178.1  64.2   142 126.2    71   182 147.2 151.1    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160   191  28.1 178.2    20   172  48.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[65]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01111873                0.40802327                0.16647382 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.19413292              0.02382549              0.02594392 
#>   grade_iii, Cure model 
#>              0.66327562 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 90    20.94      1  50        0         1
#> 149    8.37      1  33        1         0
#> 10    10.53      1  34        0         0
#> 86    23.81      1  58        0         1
#> 195   11.76      1  NA        1         0
#> 192   16.44      1  31        1         0
#> 134   17.81      1  47        1         0
#> 157   15.10      1  47        0         0
#> 168   23.72      1  70        0         0
#> 195.1 11.76      1  NA        1         0
#> 128   20.35      1  35        0         1
#> 134.1 17.81      1  47        1         0
#> 55    19.34      1  69        0         1
#> 189   10.51      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 183    9.24      1  67        1         0
#> 30    17.43      1  78        0         0
#> 184   17.77      1  38        0         0
#> 4     17.64      1  NA        0         1
#> 124    9.73      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 107   11.18      1  54        1         0
#> 90.1  20.94      1  50        0         1
#> 110   17.56      1  65        0         1
#> 105   19.75      1  60        0         0
#> 93    10.33      1  52        0         1
#> 123   13.00      1  44        1         0
#> 55.1  19.34      1  69        0         1
#> 30.1  17.43      1  78        0         0
#> 110.1 17.56      1  65        0         1
#> 164   23.60      1  76        0         1
#> 197   21.60      1  69        1         0
#> 111   17.45      1  47        0         1
#> 5     16.43      1  51        0         1
#> 139   21.49      1  63        1         0
#> 192.1 16.44      1  31        1         0
#> 68    20.62      1  44        0         0
#> 49    12.19      1  48        1         0
#> 86.1  23.81      1  58        0         1
#> 110.2 17.56      1  65        0         1
#> 49.1  12.19      1  48        1         0
#> 101    9.97      1  10        0         1
#> 40    18.00      1  28        1         0
#> 18    15.21      1  49        1         0
#> 68.1  20.62      1  44        0         0
#> 55.2  19.34      1  69        0         1
#> 76    19.22      1  54        0         1
#> 129   23.41      1  53        1         0
#> 78    23.88      1  43        0         0
#> 194   22.40      1  38        0         1
#> 157.1 15.10      1  47        0         0
#> 15    22.68      1  48        0         0
#> 180   14.82      1  37        0         0
#> 157.2 15.10      1  47        0         0
#> 55.3  19.34      1  69        0         1
#> 117   17.46      1  26        0         1
#> 52    10.42      1  52        0         1
#> 133   14.65      1  57        0         0
#> 136   21.83      1  43        0         1
#> 24    23.89      1  38        0         0
#> 45    17.42      1  54        0         1
#> 81    14.06      1  34        0         0
#> 41    18.02      1  40        1         0
#> 29    15.45      1  68        1         0
#> 78.1  23.88      1  43        0         0
#> 88    18.37      1  47        0         0
#> 129.1 23.41      1  53        1         0
#> 129.2 23.41      1  53        1         0
#> 111.1 17.45      1  47        0         1
#> 97    19.14      1  65        0         1
#> 164.1 23.60      1  76        0         1
#> 177   12.53      1  75        0         0
#> 134.2 17.81      1  47        1         0
#> 68.2  20.62      1  44        0         0
#> 96    14.54      1  33        0         1
#> 158   20.14      1  74        1         0
#> 110.3 17.56      1  65        0         1
#> 117.1 17.46      1  26        0         1
#> 13    14.34      1  54        0         1
#> 81.1  14.06      1  34        0         0
#> 199   19.81      1  NA        0         1
#> 76.1  19.22      1  54        0         1
#> 26    15.77      1  49        0         1
#> 23    16.92      1  61        0         0
#> 42    12.43      1  49        0         1
#> 155   13.08      1  26        0         0
#> 149.1  8.37      1  33        1         0
#> 40.1  18.00      1  28        1         0
#> 145   10.07      1  65        1         0
#> 76.2  19.22      1  54        0         1
#> 100   16.07      1  60        0         0
#> 68.3  20.62      1  44        0         0
#> 123.1 13.00      1  44        1         0
#> 39    15.59      1  37        0         1
#> 139.1 21.49      1  63        1         0
#> 177.1 12.53      1  75        0         0
#> 167   15.55      1  56        1         0
#> 110.4 17.56      1  65        0         1
#> 55.4  19.34      1  69        0         1
#> 158.1 20.14      1  74        1         0
#> 8     18.43      1  32        0         0
#> 63    22.77      1  31        1         0
#> 60    13.15      1  38        1         0
#> 171   16.57      1  41        0         1
#> 99    21.19      1  38        0         1
#> 49.2  12.19      1  48        1         0
#> 55.5  19.34      1  69        0         1
#> 89    11.44      1  NA        0         0
#> 128.1 20.35      1  35        0         1
#> 155.1 13.08      1  26        0         0
#> 86.2  23.81      1  58        0         1
#> 195.2 11.76      1  NA        1         0
#> 120   24.00      0  68        0         1
#> 142   24.00      0  53        0         0
#> 161   24.00      0  45        0         0
#> 95    24.00      0  68        0         1
#> 21    24.00      0  47        0         0
#> 174   24.00      0  49        1         0
#> 27    24.00      0  63        1         0
#> 162   24.00      0  51        0         0
#> 112   24.00      0  61        0         0
#> 193   24.00      0  45        0         1
#> 98    24.00      0  34        1         0
#> 161.1 24.00      0  45        0         0
#> 83    24.00      0   6        0         0
#> 48    24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 46    24.00      0  71        0         0
#> 34    24.00      0  36        0         0
#> 98.1  24.00      0  34        1         0
#> 48.1  24.00      0  31        1         0
#> 160   24.00      0  31        1         0
#> 161.2 24.00      0  45        0         0
#> 160.1 24.00      0  31        1         0
#> 2     24.00      0   9        0         0
#> 35    24.00      0  51        0         0
#> 198   24.00      0  66        0         1
#> 28    24.00      0  67        1         0
#> 54    24.00      0  53        1         0
#> 75    24.00      0  21        1         0
#> 2.1   24.00      0   9        0         0
#> 162.1 24.00      0  51        0         0
#> 109   24.00      0  48        0         0
#> 11    24.00      0  42        0         1
#> 119   24.00      0  17        0         0
#> 144   24.00      0  28        0         1
#> 138   24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 9     24.00      0  31        1         0
#> 112.1 24.00      0  61        0         0
#> 126   24.00      0  48        0         0
#> 98.2  24.00      0  34        1         0
#> 172   24.00      0  41        0         0
#> 21.1  24.00      0  47        0         0
#> 95.1  24.00      0  68        0         1
#> 165   24.00      0  47        0         0
#> 147   24.00      0  76        1         0
#> 34.1  24.00      0  36        0         0
#> 120.1 24.00      0  68        0         1
#> 160.2 24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 163   24.00      0  66        0         0
#> 137   24.00      0  45        1         0
#> 163.1 24.00      0  66        0         0
#> 1     24.00      0  23        1         0
#> 31.1  24.00      0  36        0         1
#> 160.3 24.00      0  31        1         0
#> 21.2  24.00      0  47        0         0
#> 67    24.00      0  25        0         0
#> 121   24.00      0  57        1         0
#> 65    24.00      0  57        1         0
#> 28.1  24.00      0  67        1         0
#> 160.4 24.00      0  31        1         0
#> 137.1 24.00      0  45        1         0
#> 182   24.00      0  35        0         0
#> 172.1 24.00      0  41        0         0
#> 126.1 24.00      0  48        0         0
#> 31.2  24.00      0  36        0         1
#> 12    24.00      0  63        0         0
#> 3     24.00      0  31        1         0
#> 1.1   24.00      0  23        1         0
#> 74    24.00      0  43        0         1
#> 119.1 24.00      0  17        0         0
#> 178   24.00      0  52        1         0
#> 174.1 24.00      0  49        1         0
#> 102   24.00      0  49        0         0
#> 174.2 24.00      0  49        1         0
#> 121.1 24.00      0  57        1         0
#> 11.1  24.00      0  42        0         1
#> 156   24.00      0  50        1         0
#> 146   24.00      0  63        1         0
#> 144.1 24.00      0  28        0         1
#> 19    24.00      0  57        0         1
#> 174.3 24.00      0  49        1         0
#> 53    24.00      0  32        0         1
#> 198.1 24.00      0  66        0         1
#> 74.1  24.00      0  43        0         1
#> 11.2  24.00      0  42        0         1
#> 193.1 24.00      0  45        0         1
#> 116   24.00      0  58        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.19          NA        NA      NA
#> 2 age, Cure model           0.0238        NA        NA      NA
#> 3 grade_ii, Cure model      0.0259        NA        NA      NA
#> 4 grade_iii, Cure model     0.663         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0111        NA        NA      NA
#> 2 grade_ii, Survival model    0.408         NA        NA      NA
#> 3 grade_iii, Survival model   0.166         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.19413           0.02383           0.02594           0.66328  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.8 
#> Residual Deviance: 253.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.19413292       0.02382549       0.02594392       0.66327562 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01111873       0.40802327       0.16647382 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.102941579 0.959842540 0.879785931 0.007609473 0.510873338 0.322190839
#>   [7] 0.615607105 0.016918560 0.145432635 0.322190839 0.185103011 0.986503462
#>  [13] 0.946402451 0.454671925 0.351338201 0.057774379 0.866636232 0.102941579
#>  [19] 0.361434797 0.176765100 0.906275960 0.763772479 0.185103011 0.454671925
#>  [25] 0.361434797 0.021450054 0.076456788 0.433194842 0.533471101 0.082994893
#>  [31] 0.510873338 0.116824387 0.827884024 0.007609473 0.361434797 0.827884024
#>  [37] 0.933016740 0.302649361 0.603710132 0.116824387 0.185103011 0.235341816
#>  [43] 0.031445196 0.002648938 0.063861712 0.615607105 0.051933765 0.651442430
#>  [49] 0.615607105 0.185103011 0.412032252 0.892997796 0.663690704 0.070083364
#>  [55] 0.000576010 0.476753971 0.700918032 0.292649180 0.591843064 0.002648938
#>  [61] 0.282661338 0.031445196 0.031445196 0.433194842 0.263074187 0.021450054
#>  [67] 0.789069159 0.322190839 0.116824387 0.676046014 0.160839510 0.361434797
#>  [73] 0.412032252 0.688442479 0.700918032 0.235341816 0.556595375 0.488018831
#>  [79] 0.814833077 0.738541044 0.959842540 0.302649361 0.919620107 0.235341816
#>  [85] 0.544973529 0.116824387 0.763772479 0.568294175 0.082994893 0.789069159
#>  [91] 0.580045533 0.361434797 0.185103011 0.160839510 0.272815123 0.046353085
#>  [97] 0.725924884 0.499413229 0.096060423 0.827884024 0.185103011 0.145432635
#> [103] 0.738541044 0.007609473 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    90   149    10    86   192   134   157   168   128 134.1    55   127   183 
#> 20.94  8.37 10.53 23.81 16.44 17.81 15.10 23.72 20.35 17.81 19.34  3.53  9.24 
#>    30   184   169   107  90.1   110   105    93   123  55.1  30.1 110.1   164 
#> 17.43 17.77 22.41 11.18 20.94 17.56 19.75 10.33 13.00 19.34 17.43 17.56 23.60 
#>   197   111     5   139 192.1    68    49  86.1 110.2  49.1   101    40    18 
#> 21.60 17.45 16.43 21.49 16.44 20.62 12.19 23.81 17.56 12.19  9.97 18.00 15.21 
#>  68.1  55.2    76   129    78   194 157.1    15   180 157.2  55.3   117    52 
#> 20.62 19.34 19.22 23.41 23.88 22.40 15.10 22.68 14.82 15.10 19.34 17.46 10.42 
#>   133   136    24    45    81    41    29  78.1    88 129.1 129.2 111.1    97 
#> 14.65 21.83 23.89 17.42 14.06 18.02 15.45 23.88 18.37 23.41 23.41 17.45 19.14 
#> 164.1   177 134.2  68.2    96   158 110.3 117.1    13  81.1  76.1    26    23 
#> 23.60 12.53 17.81 20.62 14.54 20.14 17.56 17.46 14.34 14.06 19.22 15.77 16.92 
#>    42   155 149.1  40.1   145  76.2   100  68.3 123.1    39 139.1 177.1   167 
#> 12.43 13.08  8.37 18.00 10.07 19.22 16.07 20.62 13.00 15.59 21.49 12.53 15.55 
#> 110.4  55.4 158.1     8    63    60   171    99  49.2  55.5 128.1 155.1  86.2 
#> 17.56 19.34 20.14 18.43 22.77 13.15 16.57 21.19 12.19 19.34 20.35 13.08 23.81 
#>   120   142   161    95    21   174    27   162   112   193    98 161.1    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48    31    46    34  98.1  48.1   160 161.2 160.1     2    35   198    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54    75   2.1 162.1   109    11   119   144   138   132     9 112.1   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.2   172  21.1  95.1   165   147  34.1 120.1 160.2    47   163   137 163.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1  31.1 160.3  21.2    67   121    65  28.1 160.4 137.1   182 172.1 126.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  31.2    12     3   1.1    74 119.1   178 174.1   102 174.2 121.1  11.1   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146 144.1    19 174.3    53 198.1  74.1  11.2 193.1   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[66]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01190674                0.29038822                0.13341740 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.075880191            -0.001547522            -0.058433224 
#>   grade_iii, Cure model 
#>             0.644974161 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 158   20.14      1  74        1         0
#> 45    17.42      1  54        0         1
#> 4     17.64      1  NA        0         1
#> 154   12.63      1  20        1         0
#> 183    9.24      1  67        1         0
#> 79    16.23      1  54        1         0
#> 10    10.53      1  34        0         0
#> 108   18.29      1  39        0         1
#> 29    15.45      1  68        1         0
#> 194   22.40      1  38        0         1
#> 170   19.54      1  43        0         1
#> 134   17.81      1  47        1         0
#> 194.1 22.40      1  38        0         1
#> 105   19.75      1  60        0         0
#> 189   10.51      1  NA        1         0
#> 6     15.64      1  39        0         0
#> 179   18.63      1  42        0         0
#> 129   23.41      1  53        1         0
#> 70     7.38      1  30        1         0
#> 134.1 17.81      1  47        1         0
#> 90    20.94      1  50        0         1
#> 155   13.08      1  26        0         0
#> 30    17.43      1  78        0         0
#> 164   23.60      1  76        0         1
#> 158.1 20.14      1  74        1         0
#> 134.2 17.81      1  47        1         0
#> 41    18.02      1  40        1         0
#> 192   16.44      1  31        1         0
#> 107   11.18      1  54        1         0
#> 166   19.98      1  48        0         0
#> 158.2 20.14      1  74        1         0
#> 171   16.57      1  41        0         1
#> 168   23.72      1  70        0         0
#> 57    14.46      1  45        0         1
#> 32    20.90      1  37        1         0
#> 58    19.34      1  39        0         0
#> 6.1   15.64      1  39        0         0
#> 30.1  17.43      1  78        0         0
#> 199   19.81      1  NA        0         1
#> 183.1  9.24      1  67        1         0
#> 150   20.33      1  48        0         0
#> 57.1  14.46      1  45        0         1
#> 49    12.19      1  48        1         0
#> 150.1 20.33      1  48        0         0
#> 179.1 18.63      1  42        0         0
#> 59    10.16      1  NA        1         0
#> 56    12.21      1  60        0         0
#> 108.1 18.29      1  39        0         1
#> 32.1  20.90      1  37        1         0
#> 26    15.77      1  49        0         1
#> 15    22.68      1  48        0         0
#> 184   17.77      1  38        0         0
#> 25     6.32      1  34        1         0
#> 8     18.43      1  32        0         0
#> 58.1  19.34      1  39        0         0
#> 188   16.16      1  46        0         1
#> 18    15.21      1  49        1         0
#> 90.1  20.94      1  50        0         1
#> 99    21.19      1  38        0         1
#> 128   20.35      1  35        0         1
#> 140   12.68      1  59        1         0
#> 140.1 12.68      1  59        1         0
#> 106   16.67      1  49        1         0
#> 169   22.41      1  46        0         0
#> 57.2  14.46      1  45        0         1
#> 57.3  14.46      1  45        0         1
#> 177   12.53      1  75        0         0
#> 40    18.00      1  28        1         0
#> 13    14.34      1  54        0         1
#> 136   21.83      1  43        0         1
#> 43    12.10      1  61        0         1
#> 57.4  14.46      1  45        0         1
#> 129.1 23.41      1  53        1         0
#> 45.1  17.42      1  54        0         1
#> 158.3 20.14      1  74        1         0
#> 130   16.47      1  53        0         1
#> 171.1 16.57      1  41        0         1
#> 26.1  15.77      1  49        0         1
#> 99.1  21.19      1  38        0         1
#> 40.1  18.00      1  28        1         0
#> 130.1 16.47      1  53        0         1
#> 105.1 19.75      1  60        0         0
#> 187    9.92      1  39        1         0
#> 108.2 18.29      1  39        0         1
#> 155.1 13.08      1  26        0         0
#> 10.1  10.53      1  34        0         0
#> 66    22.13      1  53        0         0
#> 6.2   15.64      1  39        0         0
#> 139   21.49      1  63        1         0
#> 57.5  14.46      1  45        0         1
#> 91     5.33      1  61        0         1
#> 79.1  16.23      1  54        1         0
#> 107.1 11.18      1  54        1         0
#> 89    11.44      1  NA        0         0
#> 171.2 16.57      1  41        0         1
#> 45.2  17.42      1  54        0         1
#> 192.1 16.44      1  31        1         0
#> 61    10.12      1  36        0         1
#> 130.2 16.47      1  53        0         1
#> 93    10.33      1  52        0         1
#> 16     8.71      1  71        0         1
#> 58.2  19.34      1  39        0         0
#> 127    3.53      1  62        0         1
#> 199.1 19.81      1  NA        0         1
#> 36    21.19      1  48        0         1
#> 107.2 11.18      1  54        1         0
#> 57.6  14.46      1  45        0         1
#> 6.3   15.64      1  39        0         0
#> 108.3 18.29      1  39        0         1
#> 6.4   15.64      1  39        0         0
#> 133   14.65      1  57        0         0
#> 57.7  14.46      1  45        0         1
#> 94    24.00      0  51        0         1
#> 53    24.00      0  32        0         1
#> 74    24.00      0  43        0         1
#> 38    24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 178   24.00      0  52        1         0
#> 132   24.00      0  55        0         0
#> 67    24.00      0  25        0         0
#> 98    24.00      0  34        1         0
#> 62    24.00      0  71        0         0
#> 103   24.00      0  56        1         0
#> 12    24.00      0  63        0         0
#> 185   24.00      0  44        1         0
#> 191   24.00      0  60        0         1
#> 178.1 24.00      0  52        1         0
#> 2     24.00      0   9        0         0
#> 9     24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 143   24.00      0  51        0         0
#> 141   24.00      0  44        1         0
#> 162   24.00      0  51        0         0
#> 156   24.00      0  50        1         0
#> 64    24.00      0  43        0         0
#> 132.1 24.00      0  55        0         0
#> 160   24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 1     24.00      0  23        1         0
#> 144   24.00      0  28        0         1
#> 178.2 24.00      0  52        1         0
#> 191.1 24.00      0  60        0         1
#> 34    24.00      0  36        0         0
#> 147   24.00      0  76        1         0
#> 121   24.00      0  57        1         0
#> 95    24.00      0  68        0         1
#> 20    24.00      0  46        1         0
#> 137   24.00      0  45        1         0
#> 34.1  24.00      0  36        0         0
#> 67.1  24.00      0  25        0         0
#> 27    24.00      0  63        1         0
#> 144.1 24.00      0  28        0         1
#> 120   24.00      0  68        0         1
#> 137.1 24.00      0  45        1         0
#> 64.1  24.00      0  43        0         0
#> 87    24.00      0  27        0         0
#> 12.1  24.00      0  63        0         0
#> 1.1   24.00      0  23        1         0
#> 152   24.00      0  36        0         1
#> 161   24.00      0  45        0         0
#> 178.3 24.00      0  52        1         0
#> 160.1 24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 38.1  24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 65    24.00      0  57        1         0
#> 71    24.00      0  51        0         0
#> 95.1  24.00      0  68        0         1
#> 46    24.00      0  71        0         0
#> 191.2 24.00      0  60        0         1
#> 131   24.00      0  66        0         0
#> 156.1 24.00      0  50        1         0
#> 176.1 24.00      0  43        0         1
#> 84    24.00      0  39        0         1
#> 46.1  24.00      0  71        0         0
#> 27.1  24.00      0  63        1         0
#> 122.1 24.00      0  66        0         0
#> 174   24.00      0  49        1         0
#> 198   24.00      0  66        0         1
#> 147.1 24.00      0  76        1         0
#> 33    24.00      0  53        0         0
#> 148   24.00      0  61        1         0
#> 75    24.00      0  21        1         0
#> 198.1 24.00      0  66        0         1
#> 148.1 24.00      0  61        1         0
#> 98.1  24.00      0  34        1         0
#> 193   24.00      0  45        0         1
#> 94.1  24.00      0  51        0         1
#> 98.2  24.00      0  34        1         0
#> 33.1  24.00      0  53        0         0
#> 131.1 24.00      0  66        0         0
#> 31    24.00      0  36        0         1
#> 65.1  24.00      0  57        1         0
#> 62.1  24.00      0  71        0         0
#> 84.1  24.00      0  39        0         1
#> 27.2  24.00      0  63        1         0
#> 163   24.00      0  66        0         0
#> 178.4 24.00      0  52        1         0
#> 80.1  24.00      0  41        0         0
#> 9.1   24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.0759         NA        NA      NA
#> 2 age, Cure model         -0.00155        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0584         NA        NA      NA
#> 4 grade_iii, Cure model    0.645          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0119        NA        NA      NA
#> 2 grade_ii, Survival model    0.290         NA        NA      NA
#> 3 grade_iii, Survival model   0.133         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.075880         -0.001548         -0.058433          0.644974  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    267.3 
#> Residual Deviance: 262.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.075880191     -0.001547522     -0.058433224      0.644974161 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01190674       0.29038822       0.13341740 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.0890643817 0.3077174457 0.7306593834 0.9025559044 0.4295658797
#>   [6] 0.8349485545 0.1923641728 0.5394448847 0.0142696522 0.1363472548
#>  [11] 0.2526546627 0.0142696522 0.1216115225 0.4839976625 0.1673035312
#>  [16] 0.0031909394 0.9439122916 0.2526546627 0.0492974549 0.6803074797
#>  [21] 0.2886643729 0.0010463555 0.0890643817 0.2526546627 0.2259945106
#>  [26] 0.4084173201 0.7955464844 0.1144632382 0.0890643817 0.3470220274
#>  [31] 0.0001047706 0.5747247656 0.0600653241 0.1440609358 0.4839976625
#>  [36] 0.2886643729 0.9025559044 0.0769890956 0.5747247656 0.7693248593
#>  [41] 0.0769890956 0.1673035312 0.7563173084 0.1923641728 0.0600653241
#>  [46] 0.4619801531 0.0075578715 0.2793535350 0.9578497439 0.1837982736
#>  [51] 0.1440609358 0.4510285511 0.5511220774 0.0492974549 0.0351421024
#>  [56] 0.0711140952 0.7053316510 0.7053316510 0.3369169015 0.0106900859
#>  [61] 0.5747247656 0.5747247656 0.7434229742 0.2349768847 0.6678018362
#>  [66] 0.0257520257 0.7823865371 0.5747247656 0.0031909394 0.3077174457
#>  [71] 0.0890643817 0.3772297126 0.3470220274 0.4619801531 0.0351421024
#>  [76] 0.2349768847 0.3772297126 0.1216115225 0.8889004122 0.1923641728
#>  [81] 0.6803074797 0.8349485545 0.0214336761 0.4839976625 0.0303127088
#>  [86] 0.5747247656 0.9718091639 0.4295658797 0.7955464844 0.3470220274
#>  [91] 0.3077174457 0.4084173201 0.8752783393 0.3772297126 0.8617102503
#>  [96] 0.9299881309 0.1440609358 0.9858588525 0.0351421024 0.7955464844
#> [101] 0.5747247656 0.4839976625 0.1923641728 0.4839976625 0.5628624633
#> [106] 0.5747247656 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>   158    45   154   183    79    10   108    29   194   170   134 194.1   105 
#> 20.14 17.42 12.63  9.24 16.23 10.53 18.29 15.45 22.40 19.54 17.81 22.40 19.75 
#>     6   179   129    70 134.1    90   155    30   164 158.1 134.2    41   192 
#> 15.64 18.63 23.41  7.38 17.81 20.94 13.08 17.43 23.60 20.14 17.81 18.02 16.44 
#>   107   166 158.2   171   168    57    32    58   6.1  30.1 183.1   150  57.1 
#> 11.18 19.98 20.14 16.57 23.72 14.46 20.90 19.34 15.64 17.43  9.24 20.33 14.46 
#>    49 150.1 179.1    56 108.1  32.1    26    15   184    25     8  58.1   188 
#> 12.19 20.33 18.63 12.21 18.29 20.90 15.77 22.68 17.77  6.32 18.43 19.34 16.16 
#>    18  90.1    99   128   140 140.1   106   169  57.2  57.3   177    40    13 
#> 15.21 20.94 21.19 20.35 12.68 12.68 16.67 22.41 14.46 14.46 12.53 18.00 14.34 
#>   136    43  57.4 129.1  45.1 158.3   130 171.1  26.1  99.1  40.1 130.1 105.1 
#> 21.83 12.10 14.46 23.41 17.42 20.14 16.47 16.57 15.77 21.19 18.00 16.47 19.75 
#>   187 108.2 155.1  10.1    66   6.2   139  57.5    91  79.1 107.1 171.2  45.2 
#>  9.92 18.29 13.08 10.53 22.13 15.64 21.49 14.46  5.33 16.23 11.18 16.57 17.42 
#> 192.1    61 130.2    93    16  58.2   127    36 107.2  57.6   6.3 108.3   6.4 
#> 16.44 10.12 16.47 10.33  8.71 19.34  3.53 21.19 11.18 14.46 15.64 18.29 15.64 
#>   133  57.7    94    53    74    38   176   178   132    67    98    62   103 
#> 14.65 14.46 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12   185   191 178.1     2     9    80   143   141   162   156    64 132.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160   122     1   144 178.2 191.1    34   147   121    95    20   137  34.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  67.1    27 144.1   120 137.1  64.1    87  12.1   1.1   152   161 178.3 160.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72  38.1    21    65    71  95.1    46 191.2   131 156.1 176.1    84  46.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  27.1 122.1   174   198 147.1    33   148    75 198.1 148.1  98.1   193  94.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.2  33.1 131.1    31  65.1  62.1  84.1  27.2   163 178.4  80.1   9.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[67]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01308951                0.63763066                0.60314985 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.445800583             0.006898722             0.243501122 
#>   grade_iii, Cure model 
#>             0.672209426 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 86    23.81      1  58        0         1
#> 97    19.14      1  65        0         1
#> 197   21.60      1  69        1         0
#> 166   19.98      1  48        0         0
#> 192   16.44      1  31        1         0
#> 128   20.35      1  35        0         1
#> 155   13.08      1  26        0         0
#> 197.1 21.60      1  69        1         0
#> 164   23.60      1  76        0         1
#> 169   22.41      1  46        0         0
#> 195   11.76      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 26    15.77      1  49        0         1
#> 36    21.19      1  48        0         1
#> 37    12.52      1  57        1         0
#> 57    14.46      1  45        0         1
#> 76    19.22      1  54        0         1
#> 171   16.57      1  41        0         1
#> 5     16.43      1  51        0         1
#> 157   15.10      1  47        0         0
#> 129   23.41      1  53        1         0
#> 24    23.89      1  38        0         0
#> 123   13.00      1  44        1         0
#> 4     17.64      1  NA        0         1
#> 51    18.23      1  83        0         1
#> 92    22.92      1  47        0         1
#> 57.1  14.46      1  45        0         1
#> 30    17.43      1  78        0         0
#> 181   16.46      1  45        0         1
#> 189   10.51      1  NA        1         0
#> 189.1 10.51      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 93    10.33      1  52        0         1
#> 158   20.14      1  74        1         0
#> 8     18.43      1  32        0         0
#> 77     7.27      1  67        0         1
#> 58    19.34      1  39        0         0
#> 70     7.38      1  30        1         0
#> 5.1   16.43      1  51        0         1
#> 63    22.77      1  31        1         0
#> 175   21.91      1  43        0         0
#> 158.1 20.14      1  74        1         0
#> 158.2 20.14      1  74        1         0
#> 26.1  15.77      1  49        0         1
#> 181.1 16.46      1  45        0         1
#> 15    22.68      1  48        0         0
#> 6     15.64      1  39        0         0
#> 133   14.65      1  57        0         0
#> 85    16.44      1  36        0         0
#> 101    9.97      1  10        0         1
#> 39    15.59      1  37        0         1
#> 68    20.62      1  44        0         0
#> 175.1 21.91      1  43        0         0
#> 133.1 14.65      1  57        0         0
#> 39.1  15.59      1  37        0         1
#> 192.1 16.44      1  31        1         0
#> 136   21.83      1  43        0         1
#> 153.1 21.33      1  55        1         0
#> 91     5.33      1  61        0         1
#> 101.1  9.97      1  10        0         1
#> 149    8.37      1  33        1         0
#> 123.1 13.00      1  44        1         0
#> 97.1  19.14      1  65        0         1
#> 45    17.42      1  54        0         1
#> 130   16.47      1  53        0         1
#> 168.1 23.72      1  70        0         0
#> 6.1   15.64      1  39        0         0
#> 93.1  10.33      1  52        0         1
#> 59    10.16      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 129.1 23.41      1  53        1         0
#> 177   12.53      1  75        0         0
#> 113   22.86      1  34        0         0
#> 129.2 23.41      1  53        1         0
#> 30.1  17.43      1  78        0         0
#> 153.2 21.33      1  55        1         0
#> 184   17.77      1  38        0         0
#> 49    12.19      1  48        1         0
#> 197.2 21.60      1  69        1         0
#> 179   18.63      1  42        0         0
#> 49.1  12.19      1  48        1         0
#> 155.1 13.08      1  26        0         0
#> 99    21.19      1  38        0         1
#> 69    23.23      1  25        0         1
#> 145   10.07      1  65        1         0
#> 145.1 10.07      1  65        1         0
#> 99.1  21.19      1  38        0         1
#> 29    15.45      1  68        1         0
#> 140   12.68      1  59        1         0
#> 125   15.65      1  67        1         0
#> 40    18.00      1  28        1         0
#> 149.1  8.37      1  33        1         0
#> 50    10.02      1  NA        1         0
#> 24.1  23.89      1  38        0         0
#> 25     6.32      1  34        1         0
#> 154   12.63      1  20        1         0
#> 111   17.45      1  47        0         1
#> 181.2 16.46      1  45        0         1
#> 108   18.29      1  39        0         1
#> 153.3 21.33      1  55        1         0
#> 170   19.54      1  43        0         1
#> 114   13.68      1  NA        0         0
#> 139   21.49      1  63        1         0
#> 114.1 13.68      1  NA        0         0
#> 113.1 22.86      1  34        0         0
#> 190   20.81      1  42        1         0
#> 111.1 17.45      1  47        0         1
#> 159   10.55      1  50        0         1
#> 25.1   6.32      1  34        1         0
#> 159.1 10.55      1  50        0         1
#> 107   11.18      1  54        1         0
#> 60    13.15      1  38        1         0
#> 104   24.00      0  50        1         0
#> 1     24.00      0  23        1         0
#> 31    24.00      0  36        0         1
#> 147   24.00      0  76        1         0
#> 2     24.00      0   9        0         0
#> 198   24.00      0  66        0         1
#> 2.1   24.00      0   9        0         0
#> 72    24.00      0  40        0         1
#> 31.1  24.00      0  36        0         1
#> 62    24.00      0  71        0         0
#> 95    24.00      0  68        0         1
#> 137   24.00      0  45        1         0
#> 7     24.00      0  37        1         0
#> 115   24.00      0  NA        1         0
#> 143   24.00      0  51        0         0
#> 72.1  24.00      0  40        0         1
#> 17    24.00      0  38        0         1
#> 94    24.00      0  51        0         1
#> 9     24.00      0  31        1         0
#> 27    24.00      0  63        1         0
#> 178   24.00      0  52        1         0
#> 116   24.00      0  58        0         1
#> 11    24.00      0  42        0         1
#> 33    24.00      0  53        0         0
#> 19    24.00      0  57        0         1
#> 98    24.00      0  34        1         0
#> 147.1 24.00      0  76        1         0
#> 162   24.00      0  51        0         0
#> 20    24.00      0  46        1         0
#> 135   24.00      0  58        1         0
#> 75    24.00      0  21        1         0
#> 118   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 122   24.00      0  66        0         0
#> 67    24.00      0  25        0         0
#> 152   24.00      0  36        0         1
#> 182   24.00      0  35        0         0
#> 132   24.00      0  55        0         0
#> 148   24.00      0  61        1         0
#> 27.1  24.00      0  63        1         0
#> 135.1 24.00      0  58        1         0
#> 182.1 24.00      0  35        0         0
#> 104.1 24.00      0  50        1         0
#> 132.1 24.00      0  55        0         0
#> 19.1  24.00      0  57        0         1
#> 31.2  24.00      0  36        0         1
#> 186   24.00      0  45        1         0
#> 46    24.00      0  71        0         0
#> 196   24.00      0  19        0         0
#> 65.1  24.00      0  57        1         0
#> 115.1 24.00      0  NA        1         0
#> 19.2  24.00      0  57        0         1
#> 119   24.00      0  17        0         0
#> 20.1  24.00      0  46        1         0
#> 71    24.00      0  51        0         0
#> 104.2 24.00      0  50        1         0
#> 141   24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 137.1 24.00      0  45        1         0
#> 109   24.00      0  48        0         0
#> 72.2  24.00      0  40        0         1
#> 196.1 24.00      0  19        0         0
#> 44    24.00      0  56        0         0
#> 165   24.00      0  47        0         0
#> 12    24.00      0  63        0         0
#> 191   24.00      0  60        0         1
#> 109.1 24.00      0  48        0         0
#> 2.2   24.00      0   9        0         0
#> 28    24.00      0  67        1         0
#> 67.1  24.00      0  25        0         0
#> 160   24.00      0  31        1         0
#> 143.1 24.00      0  51        0         0
#> 165.1 24.00      0  47        0         0
#> 156   24.00      0  50        1         0
#> 152.1 24.00      0  36        0         1
#> 120   24.00      0  68        0         1
#> 11.1  24.00      0  42        0         1
#> 196.2 24.00      0  19        0         0
#> 163   24.00      0  66        0         0
#> 144   24.00      0  28        0         1
#> 12.1  24.00      0  63        0         0
#> 19.3  24.00      0  57        0         1
#> 27.2  24.00      0  63        1         0
#> 122.1 24.00      0  66        0         0
#> 28.1  24.00      0  67        1         0
#> 3     24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 119.1 24.00      0  17        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.446          NA        NA      NA
#> 2 age, Cure model          0.00690        NA        NA      NA
#> 3 grade_ii, Cure model     0.244          NA        NA      NA
#> 4 grade_iii, Cure model    0.672          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0131        NA        NA      NA
#> 2 grade_ii, Survival model    0.638         NA        NA      NA
#> 3 grade_iii, Survival model   0.603         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.445801          0.006899          0.243501          0.672209  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 257.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.445800583      0.006898722      0.243501122      0.672209426 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01308951       0.63763066       0.60314985 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.007645353 0.321340047 0.132080592 0.282770207 0.504269658 0.246220888
#>   [7] 0.715693911 0.132080592 0.024859021 0.097957569 0.012388689 0.555705226
#>  [13] 0.201646507 0.792260167 0.672205115 0.311617020 0.452473079 0.534980330
#>  [19] 0.639806622 0.032953370 0.001476472 0.737527233 0.370815411 0.060030920
#>  [25] 0.672205115 0.421258671 0.473468234 0.167132861 0.858220197 0.255401757
#>  [31] 0.350712869 0.956675811 0.301923802 0.945810084 0.534980330 0.082311674
#>  [37] 0.106244879 0.255401757 0.255401757 0.555705226 0.473468234 0.089975924
#>  [43] 0.586972034 0.650540880 0.504269658 0.902342721 0.608109369 0.236986329
#>  [49] 0.106244879 0.650540880 0.608109369 0.504269658 0.123274905 0.167132861
#>  [55] 0.989136695 0.902342721 0.924134748 0.737527233 0.321340047 0.441969091
#>  [61] 0.462960344 0.012388689 0.586972034 0.858220197 0.693859486 0.032953370
#>  [67] 0.781239428 0.067352363 0.032953370 0.421258671 0.167132861 0.391017861
#>  [73] 0.803296689 0.132080592 0.340745910 0.803296689 0.715693911 0.201646507
#>  [79] 0.052721258 0.880228368 0.880228368 0.201646507 0.629154479 0.759319552
#>  [85] 0.576459246 0.380958332 0.924134748 0.001476472 0.967571183 0.770315058
#>  [91] 0.401179851 0.473468234 0.360777723 0.167132861 0.292353441 0.157913387
#>  [97] 0.067352363 0.227906698 0.401179851 0.836254063 0.967571183 0.836254063
#> [103] 0.825212533 0.704789425 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    86    97   197   166   192   128   155 197.1   164   169   168    26    36 
#> 23.81 19.14 21.60 19.98 16.44 20.35 13.08 21.60 23.60 22.41 23.72 15.77 21.19 
#>    37    57    76   171     5   157   129    24   123    51    92  57.1    30 
#> 12.52 14.46 19.22 16.57 16.43 15.10 23.41 23.89 13.00 18.23 22.92 14.46 17.43 
#>   181   153    93   158     8    77    58    70   5.1    63   175 158.1 158.2 
#> 16.46 21.33 10.33 20.14 18.43  7.27 19.34  7.38 16.43 22.77 21.91 20.14 20.14 
#>  26.1 181.1    15     6   133    85   101    39    68 175.1 133.1  39.1 192.1 
#> 15.77 16.46 22.68 15.64 14.65 16.44  9.97 15.59 20.62 21.91 14.65 15.59 16.44 
#>   136 153.1    91 101.1   149 123.1  97.1    45   130 168.1   6.1  93.1    13 
#> 21.83 21.33  5.33  9.97  8.37 13.00 19.14 17.42 16.47 23.72 15.64 10.33 14.34 
#> 129.1   177   113 129.2  30.1 153.2   184    49 197.2   179  49.1 155.1    99 
#> 23.41 12.53 22.86 23.41 17.43 21.33 17.77 12.19 21.60 18.63 12.19 13.08 21.19 
#>    69   145 145.1  99.1    29   140   125    40 149.1  24.1    25   154   111 
#> 23.23 10.07 10.07 21.19 15.45 12.68 15.65 18.00  8.37 23.89  6.32 12.63 17.45 
#> 181.2   108 153.3   170   139 113.1   190 111.1   159  25.1 159.1   107    60 
#> 16.46 18.29 21.33 19.54 21.49 22.86 20.81 17.45 10.55  6.32 10.55 11.18 13.15 
#>   104     1    31   147     2   198   2.1    72  31.1    62    95   137     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143  72.1    17    94     9    27   178   116    11    33    19    98 147.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162    20   135    75   118    65   122    67   152   182   132   148  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.1 182.1 104.1 132.1  19.1  31.2   186    46   196  65.1  19.2   119  20.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71 104.2   141   146 137.1   109  72.2 196.1    44   165    12   191 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   2.2    28  67.1   160 143.1 165.1   156 152.1   120  11.1 196.2   163   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  12.1  19.3  27.2 122.1  28.1     3   176 119.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[68]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003246326               1.078617353               0.602512938 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.66277927              0.01252987              0.06221898 
#>   grade_iii, Cure model 
#>              0.85679493 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 153   21.33      1  55        1         0
#> 56    12.21      1  60        0         0
#> 37    12.52      1  57        1         0
#> 154   12.63      1  20        1         0
#> 8     18.43      1  32        0         0
#> 79    16.23      1  54        1         0
#> 60    13.15      1  38        1         0
#> 139   21.49      1  63        1         0
#> 50    10.02      1  NA        1         0
#> 85    16.44      1  36        0         0
#> 106   16.67      1  49        1         0
#> 14    12.89      1  21        0         0
#> 61    10.12      1  36        0         1
#> 92    22.92      1  47        0         1
#> 8.1   18.43      1  32        0         0
#> 117   17.46      1  26        0         1
#> 124    9.73      1  NA        1         0
#> 52    10.42      1  52        0         1
#> 16     8.71      1  71        0         1
#> 10    10.53      1  34        0         0
#> 43    12.10      1  61        0         1
#> 85.1  16.44      1  36        0         0
#> 23    16.92      1  61        0         0
#> 52.1  10.42      1  52        0         1
#> 114   13.68      1  NA        0         0
#> 184   17.77      1  38        0         0
#> 107   11.18      1  54        1         0
#> 177   12.53      1  75        0         0
#> 111   17.45      1  47        0         1
#> 181   16.46      1  45        0         1
#> 108   18.29      1  39        0         1
#> 88    18.37      1  47        0         0
#> 52.2  10.42      1  52        0         1
#> 140   12.68      1  59        1         0
#> 106.1 16.67      1  49        1         0
#> 69    23.23      1  25        0         1
#> 25     6.32      1  34        1         0
#> 181.1 16.46      1  45        0         1
#> 37.1  12.52      1  57        1         0
#> 171   16.57      1  41        0         1
#> 89    11.44      1  NA        0         0
#> 86    23.81      1  58        0         1
#> 56.1  12.21      1  60        0         0
#> 78    23.88      1  43        0         0
#> 41    18.02      1  40        1         0
#> 90    20.94      1  50        0         1
#> 187    9.92      1  39        1         0
#> 194   22.40      1  38        0         1
#> 169   22.41      1  46        0         0
#> 89.1  11.44      1  NA        0         0
#> 187.1  9.92      1  39        1         0
#> 129   23.41      1  53        1         0
#> 24    23.89      1  38        0         0
#> 24.1  23.89      1  38        0         0
#> 4     17.64      1  NA        0         1
#> 168   23.72      1  70        0         0
#> 140.1 12.68      1  59        1         0
#> 171.1 16.57      1  41        0         1
#> 36    21.19      1  48        0         1
#> 4.1   17.64      1  NA        0         1
#> 183    9.24      1  67        1         0
#> 183.1  9.24      1  67        1         0
#> 128   20.35      1  35        0         1
#> 136   21.83      1  43        0         1
#> 40    18.00      1  28        1         0
#> 184.1 17.77      1  38        0         0
#> 76    19.22      1  54        0         1
#> 52.3  10.42      1  52        0         1
#> 81    14.06      1  34        0         0
#> 164   23.60      1  76        0         1
#> 111.1 17.45      1  47        0         1
#> 29    15.45      1  68        1         0
#> 168.1 23.72      1  70        0         0
#> 49    12.19      1  48        1         0
#> 58    19.34      1  39        0         0
#> 181.2 16.46      1  45        0         1
#> 117.1 17.46      1  26        0         1
#> 128.1 20.35      1  35        0         1
#> 97    19.14      1  65        0         1
#> 57    14.46      1  45        0         1
#> 78.1  23.88      1  43        0         0
#> 184.2 17.77      1  38        0         0
#> 36.1  21.19      1  48        0         1
#> 43.1  12.10      1  61        0         1
#> 78.2  23.88      1  43        0         0
#> 10.1  10.53      1  34        0         0
#> 91     5.33      1  61        0         1
#> 92.1  22.92      1  47        0         1
#> 18    15.21      1  49        1         0
#> 125   15.65      1  67        1         0
#> 79.1  16.23      1  54        1         0
#> 105   19.75      1  60        0         0
#> 59    10.16      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 168.2 23.72      1  70        0         0
#> 91.1   5.33      1  61        0         1
#> 91.2   5.33      1  61        0         1
#> 123   13.00      1  44        1         0
#> 29.1  15.45      1  68        1         0
#> 25.1   6.32      1  34        1         0
#> 13    14.34      1  54        0         1
#> 14.1  12.89      1  21        0         0
#> 123.1 13.00      1  44        1         0
#> 40.1  18.00      1  28        1         0
#> 18.1  15.21      1  49        1         0
#> 159   10.55      1  50        0         1
#> 190   20.81      1  42        1         0
#> 183.2  9.24      1  67        1         0
#> 40.2  18.00      1  28        1         0
#> 5     16.43      1  51        0         1
#> 184.3 17.77      1  38        0         0
#> 15    22.68      1  48        0         0
#> 28    24.00      0  67        1         0
#> 160   24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 163   24.00      0  66        0         0
#> 33    24.00      0  53        0         0
#> 103   24.00      0  56        1         0
#> 47    24.00      0  38        0         1
#> 132   24.00      0  55        0         0
#> 83    24.00      0   6        0         0
#> 176   24.00      0  43        0         1
#> 147   24.00      0  76        1         0
#> 80    24.00      0  41        0         0
#> 87    24.00      0  27        0         0
#> 143   24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 147.1 24.00      0  76        1         0
#> 22    24.00      0  52        1         0
#> 3     24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 65    24.00      0  57        1         0
#> 65.1  24.00      0  57        1         0
#> 138   24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 67    24.00      0  25        0         0
#> 95    24.00      0  68        0         1
#> 147.2 24.00      0  76        1         0
#> 174   24.00      0  49        1         0
#> 109   24.00      0  48        0         0
#> 178   24.00      0  52        1         0
#> 54    24.00      0  53        1         0
#> 67.1  24.00      0  25        0         0
#> 132.1 24.00      0  55        0         0
#> 152   24.00      0  36        0         1
#> 11.1  24.00      0  42        0         1
#> 109.1 24.00      0  48        0         0
#> 83.1  24.00      0   6        0         0
#> 72    24.00      0  40        0         1
#> 147.3 24.00      0  76        1         0
#> 72.1  24.00      0  40        0         1
#> 3.1   24.00      0  31        1         0
#> 160.1 24.00      0  31        1         0
#> 33.1  24.00      0  53        0         0
#> 98    24.00      0  34        1         0
#> 80.1  24.00      0  41        0         0
#> 103.1 24.00      0  56        1         0
#> 28.1  24.00      0  67        1         0
#> 22.1  24.00      0  52        1         0
#> 95.1  24.00      0  68        0         1
#> 38    24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 31    24.00      0  36        0         1
#> 2     24.00      0   9        0         0
#> 72.2  24.00      0  40        0         1
#> 62    24.00      0  71        0         0
#> 2.1   24.00      0   9        0         0
#> 82.1  24.00      0  34        0         0
#> 132.2 24.00      0  55        0         0
#> 122   24.00      0  66        0         0
#> 176.1 24.00      0  43        0         1
#> 73.1  24.00      0  NA        0         1
#> 80.2  24.00      0  41        0         0
#> 163.1 24.00      0  66        0         0
#> 138.1 24.00      0  44        1         0
#> 138.2 24.00      0  44        1         0
#> 82.2  24.00      0  34        0         0
#> 35    24.00      0  51        0         0
#> 172   24.00      0  41        0         0
#> 53    24.00      0  32        0         1
#> 119   24.00      0  17        0         0
#> 17    24.00      0  38        0         1
#> 146   24.00      0  63        1         0
#> 12    24.00      0  63        0         0
#> 146.1 24.00      0  63        1         0
#> 152.1 24.00      0  36        0         1
#> 3.2   24.00      0  31        1         0
#> 143.1 24.00      0  51        0         0
#> 160.2 24.00      0  31        1         0
#> 54.1  24.00      0  53        1         0
#> 64    24.00      0  43        0         0
#> 74    24.00      0  43        0         1
#> 185   24.00      0  44        1         0
#> 196   24.00      0  19        0         0
#> 119.1 24.00      0  17        0         0
#> 173   24.00      0  19        0         1
#> 103.2 24.00      0  56        1         0
#> 116   24.00      0  58        0         1
#> 28.2  24.00      0  67        1         0
#> 102   24.00      0  49        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.663         NA        NA      NA
#> 2 age, Cure model           0.0125        NA        NA      NA
#> 3 grade_ii, Cure model      0.0622        NA        NA      NA
#> 4 grade_iii, Cure model     0.857         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00325        NA        NA      NA
#> 2 grade_ii, Survival model   1.08           NA        NA      NA
#> 3 grade_iii, Survival model  0.603          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.66278           0.01253           0.06222           0.85679  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 253.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.66277927       0.01252987       0.06221898       0.85679493 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003246326      1.078617353      0.602512938 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.43730019 0.88497976 0.87490856 0.86449470 0.55078984 0.76659321
#>   [7] 0.82658528 0.42457200 0.74635549 0.69784842 0.84309897 0.94761710
#>  [13] 0.33690625 0.55078984 0.65205139 0.92900041 0.97450196 0.91942064
#>  [19] 0.89999572 0.74635549 0.69028484 0.92900041 0.62064309 0.90977486
#>  [25] 0.86970593 0.66757558 0.72612561 0.57872590 0.56937936 0.92900041
#>  [31] 0.85396842 0.69784842 0.32005969 0.97887010 0.72612561 0.87490856
#>  [37] 0.71213952 0.19190144 0.88497976 0.11349646 0.58791320 0.47126054
#>  [43] 0.95228166 0.39642659 0.38151365 0.95228166 0.30229623 0.04689104
#>  [49] 0.04689104 0.21773742 0.85396842 0.71213952 0.44916014 0.96138008
#>  [55] 0.96138008 0.49247996 0.41076441 0.59677529 0.62064309 0.53176073
#>  [61] 0.92900041 0.82086014 0.28148604 0.66757558 0.78571243 0.21773742
#>  [67] 0.89502638 0.52193199 0.72612561 0.65205139 0.49247996 0.54138026
#>  [73] 0.80935275 0.11349646 0.62064309 0.44916014 0.89999572 0.11349646
#>  [79] 0.91942064 0.98741314 0.33690625 0.79774685 0.77941371 0.76659321
#>  [85] 0.51207821 0.68270307 0.21773742 0.98741314 0.98741314 0.83221962
#>  [91] 0.78571243 0.97887010 0.81513034 0.84309897 0.83221962 0.59677529
#>  [97] 0.79774685 0.91461236 0.48214672 0.96138008 0.59677529 0.75987334
#> [103] 0.62064309 0.36650632 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   153    56    37   154     8    79    60   139    85   106    14    61    92 
#> 21.33 12.21 12.52 12.63 18.43 16.23 13.15 21.49 16.44 16.67 12.89 10.12 22.92 
#>   8.1   117    52    16    10    43  85.1    23  52.1   184   107   177   111 
#> 18.43 17.46 10.42  8.71 10.53 12.10 16.44 16.92 10.42 17.77 11.18 12.53 17.45 
#>   181   108    88  52.2   140 106.1    69    25 181.1  37.1   171    86  56.1 
#> 16.46 18.29 18.37 10.42 12.68 16.67 23.23  6.32 16.46 12.52 16.57 23.81 12.21 
#>    78    41    90   187   194   169 187.1   129    24  24.1   168 140.1 171.1 
#> 23.88 18.02 20.94  9.92 22.40 22.41  9.92 23.41 23.89 23.89 23.72 12.68 16.57 
#>    36   183 183.1   128   136    40 184.1    76  52.3    81   164 111.1    29 
#> 21.19  9.24  9.24 20.35 21.83 18.00 17.77 19.22 10.42 14.06 23.60 17.45 15.45 
#> 168.1    49    58 181.2 117.1 128.1    97    57  78.1 184.2  36.1  43.1  78.2 
#> 23.72 12.19 19.34 16.46 17.46 20.35 19.14 14.46 23.88 17.77 21.19 12.10 23.88 
#>  10.1    91  92.1    18   125  79.1   105    30 168.2  91.1  91.2   123  29.1 
#> 10.53  5.33 22.92 15.21 15.65 16.23 19.75 17.43 23.72  5.33  5.33 13.00 15.45 
#>  25.1    13  14.1 123.1  40.1  18.1   159   190 183.2  40.2     5 184.3    15 
#>  6.32 14.34 12.89 13.00 18.00 15.21 10.55 20.81  9.24 18.00 16.43 17.77 22.68 
#>    28   160   156   163    33   103    47   132    83   176   147    80    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143    11 147.1    22     3    82    65  65.1   138    67    95 147.2   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109   178    54  67.1 132.1   152  11.1 109.1  83.1    72 147.3  72.1   3.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 160.1  33.1    98  80.1 103.1  28.1  22.1  95.1    38   142    31     2  72.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62   2.1  82.1 132.2   122 176.1  80.2 163.1 138.1 138.2  82.2    35   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53   119    17   146    12 146.1 152.1   3.2 143.1 160.2  54.1    64    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185   196 119.1   173 103.2   116  28.2   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[69]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.002577723               0.891599369               0.308743932 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -1.022746175             0.022601919             0.003639012 
#>   grade_iii, Cure model 
#>             0.571687841 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 51    18.23      1  83        0         1
#> 59    10.16      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 79    16.23      1  54        1         0
#> 4     17.64      1  NA        0         1
#> 187    9.92      1  39        1         0
#> 41    18.02      1  40        1         0
#> 60    13.15      1  38        1         0
#> 169   22.41      1  46        0         0
#> 13    14.34      1  54        0         1
#> 133   14.65      1  57        0         0
#> 139   21.49      1  63        1         0
#> 145   10.07      1  65        1         0
#> 26    15.77      1  49        0         1
#> 128   20.35      1  35        0         1
#> 166   19.98      1  48        0         0
#> 77     7.27      1  67        0         1
#> 81    14.06      1  34        0         0
#> 76    19.22      1  54        0         1
#> 170   19.54      1  43        0         1
#> 158   20.14      1  74        1         0
#> 125   15.65      1  67        1         0
#> 134   17.81      1  47        1         0
#> 5     16.43      1  51        0         1
#> 108   18.29      1  39        0         1
#> 86    23.81      1  58        0         1
#> 123   13.00      1  44        1         0
#> 25     6.32      1  34        1         0
#> 78    23.88      1  43        0         0
#> 66    22.13      1  53        0         0
#> 189   10.51      1  NA        1         0
#> 51.1  18.23      1  83        0         1
#> 105   19.75      1  60        0         0
#> 86.1  23.81      1  58        0         1
#> 192   16.44      1  31        1         0
#> 190   20.81      1  42        1         0
#> 150   20.33      1  48        0         0
#> 5.1   16.43      1  51        0         1
#> 170.1 19.54      1  43        0         1
#> 88    18.37      1  47        0         0
#> 166.1 19.98      1  48        0         0
#> 45    17.42      1  54        0         1
#> 179   18.63      1  42        0         0
#> 105.1 19.75      1  60        0         0
#> 133.1 14.65      1  57        0         0
#> 133.2 14.65      1  57        0         0
#> 127    3.53      1  62        0         1
#> 24    23.89      1  38        0         0
#> 81.1  14.06      1  34        0         0
#> 63    22.77      1  31        1         0
#> 199   19.81      1  NA        0         1
#> 164   23.60      1  76        0         1
#> 57    14.46      1  45        0         1
#> 190.1 20.81      1  42        1         0
#> 159   10.55      1  50        0         1
#> 99    21.19      1  38        0         1
#> 140   12.68      1  59        1         0
#> 39    15.59      1  37        0         1
#> 8     18.43      1  32        0         0
#> 154   12.63      1  20        1         0
#> 192.1 16.44      1  31        1         0
#> 169.1 22.41      1  46        0         0
#> 37    12.52      1  57        1         0
#> 167   15.55      1  56        1         0
#> 45.1  17.42      1  54        0         1
#> 105.2 19.75      1  60        0         0
#> 100   16.07      1  60        0         0
#> 184   17.77      1  38        0         0
#> 180.1 14.82      1  37        0         0
#> 69    23.23      1  25        0         1
#> 78.1  23.88      1  43        0         0
#> 4.1   17.64      1  NA        0         1
#> 18    15.21      1  49        1         0
#> 128.1 20.35      1  35        0         1
#> 134.1 17.81      1  47        1         0
#> 149    8.37      1  33        1         0
#> 86.2  23.81      1  58        0         1
#> 90    20.94      1  50        0         1
#> 139.1 21.49      1  63        1         0
#> 42    12.43      1  49        0         1
#> 36    21.19      1  48        0         1
#> 37.1  12.52      1  57        1         0
#> 194   22.40      1  38        0         1
#> 106   16.67      1  49        1         0
#> 24.1  23.89      1  38        0         0
#> 167.1 15.55      1  56        1         0
#> 166.2 19.98      1  48        0         0
#> 30    17.43      1  78        0         0
#> 25.1   6.32      1  34        1         0
#> 145.1 10.07      1  65        1         0
#> 192.2 16.44      1  31        1         0
#> 79.1  16.23      1  54        1         0
#> 136   21.83      1  43        0         1
#> 58    19.34      1  39        0         0
#> 145.2 10.07      1  65        1         0
#> 91     5.33      1  61        0         1
#> 41.1  18.02      1  40        1         0
#> 101    9.97      1  10        0         1
#> 123.1 13.00      1  44        1         0
#> 13.1  14.34      1  54        0         1
#> 113   22.86      1  34        0         0
#> 55    19.34      1  69        0         1
#> 30.1  17.43      1  78        0         0
#> 18.1  15.21      1  49        1         0
#> 155   13.08      1  26        0         0
#> 149.1  8.37      1  33        1         0
#> 124    9.73      1  NA        1         0
#> 29    15.45      1  68        1         0
#> 93    10.33      1  52        0         1
#> 5.2   16.43      1  51        0         1
#> 96    14.54      1  33        0         1
#> 32    20.90      1  37        1         0
#> 196   24.00      0  19        0         0
#> 174   24.00      0  49        1         0
#> 31    24.00      0  36        0         1
#> 161   24.00      0  45        0         0
#> 132   24.00      0  55        0         0
#> 178   24.00      0  52        1         0
#> 9     24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 72    24.00      0  40        0         1
#> 62    24.00      0  71        0         0
#> 95    24.00      0  68        0         1
#> 104   24.00      0  50        1         0
#> 160   24.00      0  31        1         0
#> 186   24.00      0  45        1         0
#> 109   24.00      0  48        0         0
#> 146   24.00      0  63        1         0
#> 17    24.00      0  38        0         1
#> 48    24.00      0  31        1         0
#> 174.1 24.00      0  49        1         0
#> 182   24.00      0  35        0         0
#> 104.1 24.00      0  50        1         0
#> 102   24.00      0  49        0         0
#> 186.1 24.00      0  45        1         0
#> 148   24.00      0  61        1         0
#> 87    24.00      0  27        0         0
#> 53    24.00      0  32        0         1
#> 64    24.00      0  43        0         0
#> 173   24.00      0  19        0         1
#> 156   24.00      0  50        1         0
#> 2     24.00      0   9        0         0
#> 191   24.00      0  60        0         1
#> 9.1   24.00      0  31        1         0
#> 83    24.00      0   6        0         0
#> 67    24.00      0  25        0         0
#> 72.1  24.00      0  40        0         1
#> 174.2 24.00      0  49        1         0
#> 119   24.00      0  17        0         0
#> 65    24.00      0  57        1         0
#> 103   24.00      0  56        1         0
#> 152   24.00      0  36        0         1
#> 38    24.00      0  31        1         0
#> 118.1 24.00      0  44        1         0
#> 122   24.00      0  66        0         0
#> 72.2  24.00      0  40        0         1
#> 165   24.00      0  47        0         0
#> 65.1  24.00      0  57        1         0
#> 27    24.00      0  63        1         0
#> 191.1 24.00      0  60        0         1
#> 64.1  24.00      0  43        0         0
#> 65.2  24.00      0  57        1         0
#> 141   24.00      0  44        1         0
#> 83.1  24.00      0   6        0         0
#> 87.1  24.00      0  27        0         0
#> 193   24.00      0  45        0         1
#> 20    24.00      0  46        1         0
#> 75    24.00      0  21        1         0
#> 193.1 24.00      0  45        0         1
#> 46    24.00      0  71        0         0
#> 116   24.00      0  58        0         1
#> 87.2  24.00      0  27        0         0
#> 17.1  24.00      0  38        0         1
#> 144   24.00      0  28        0         1
#> 112.1 24.00      0  61        0         0
#> 185   24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 118.2 24.00      0  44        1         0
#> 74    24.00      0  43        0         1
#> 47    24.00      0  38        0         1
#> 65.3  24.00      0  57        1         0
#> 178.1 24.00      0  52        1         0
#> 21    24.00      0  47        0         0
#> 135   24.00      0  58        1         0
#> 20.1  24.00      0  46        1         0
#> 44    24.00      0  56        0         0
#> 64.2  24.00      0  43        0         0
#> 2.1   24.00      0   9        0         0
#> 103.1 24.00      0  56        1         0
#> 152.1 24.00      0  36        0         1
#> 156.1 24.00      0  50        1         0
#> 162   24.00      0  51        0         0
#> 162.1 24.00      0  51        0         0
#> 120   24.00      0  68        0         1
#> 80    24.00      0  41        0         0
#> 141.1 24.00      0  44        1         0
#> 156.2 24.00      0  50        1         0
#> 165.1 24.00      0  47        0         0
#> 34    24.00      0  36        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -1.02           NA        NA      NA
#> 2 age, Cure model          0.0226         NA        NA      NA
#> 3 grade_ii, Cure model     0.00364        NA        NA      NA
#> 4 grade_iii, Cure model    0.572          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00258        NA        NA      NA
#> 2 grade_ii, Survival model   0.892          NA        NA      NA
#> 3 grade_iii, Survival model  0.309          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -1.022746          0.022602          0.003639          0.571688  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    267.3 
#> Residual Deviance: 259.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -1.022746175      0.022601919      0.003639012      0.571687841 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.002577723      0.891599369      0.308743932 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.59733338 0.80777757 0.73562825 0.95889797 0.61454494 0.87474909
#>   [7] 0.25741619 0.85062687 0.82007756 0.33129319 0.93759886 0.75609065
#>  [13] 0.42225772 0.46140003 0.97454643 0.86269570 0.55274441 0.51665132
#>  [19] 0.45187926 0.76289183 0.63097262 0.71458188 0.58848846 0.13609353
#>  [25] 0.88670178 0.97972325 0.08674027 0.30207329 0.59733338 0.48915591
#>  [31] 0.13609353 0.69318710 0.40210464 0.44195025 0.71458188 0.51665132
#>  [37] 0.57957580 0.46140003 0.67018580 0.56170309 0.48915591 0.82007756
#>  [43] 0.82007756 0.99494357 0.03503078 0.86269570 0.24184509 0.18866840
#>  [49] 0.84452178 0.40210464 0.92652239 0.35565492 0.89834066 0.76957979
#>  [55] 0.57064546 0.90411009 0.69318710 0.25741619 0.90982237 0.77623893
#>  [61] 0.67018580 0.48915591 0.74925597 0.64668325 0.80777757 0.20690027
#>  [67] 0.08674027 0.79545881 0.42225772 0.63097262 0.96418633 0.13609353
#>  [73] 0.37917738 0.33129319 0.92095669 0.35565492 0.90982237 0.28718133
#>  [79] 0.68559194 0.03503078 0.77623893 0.46140003 0.65457693 0.97972325
#>  [85] 0.93759886 0.69318710 0.73562825 0.31685872 0.53480935 0.93759886
#>  [91] 0.98987173 0.61454494 0.95355964 0.88670178 0.85062687 0.22443460
#>  [97] 0.53480935 0.65457693 0.79545881 0.88072684 0.96418633 0.78910069
#> [103] 0.93206979 0.71458188 0.83839324 0.39092370 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000 0.00000000
#> 
#> $Time
#>    51   180    79   187    41    60   169    13   133   139   145    26   128 
#> 18.23 14.82 16.23  9.92 18.02 13.15 22.41 14.34 14.65 21.49 10.07 15.77 20.35 
#>   166    77    81    76   170   158   125   134     5   108    86   123    25 
#> 19.98  7.27 14.06 19.22 19.54 20.14 15.65 17.81 16.43 18.29 23.81 13.00  6.32 
#>    78    66  51.1   105  86.1   192   190   150   5.1 170.1    88 166.1    45 
#> 23.88 22.13 18.23 19.75 23.81 16.44 20.81 20.33 16.43 19.54 18.37 19.98 17.42 
#>   179 105.1 133.1 133.2   127    24  81.1    63   164    57 190.1   159    99 
#> 18.63 19.75 14.65 14.65  3.53 23.89 14.06 22.77 23.60 14.46 20.81 10.55 21.19 
#>   140    39     8   154 192.1 169.1    37   167  45.1 105.2   100   184 180.1 
#> 12.68 15.59 18.43 12.63 16.44 22.41 12.52 15.55 17.42 19.75 16.07 17.77 14.82 
#>    69  78.1    18 128.1 134.1   149  86.2    90 139.1    42    36  37.1   194 
#> 23.23 23.88 15.21 20.35 17.81  8.37 23.81 20.94 21.49 12.43 21.19 12.52 22.40 
#>   106  24.1 167.1 166.2    30  25.1 145.1 192.2  79.1   136    58 145.2    91 
#> 16.67 23.89 15.55 19.98 17.43  6.32 10.07 16.44 16.23 21.83 19.34 10.07  5.33 
#>  41.1   101 123.1  13.1   113    55  30.1  18.1   155 149.1    29    93   5.2 
#> 18.02  9.97 13.00 14.34 22.86 19.34 17.43 15.21 13.08  8.37 15.45 10.33 16.43 
#>    96    32   196   174    31   161   132   178     9   118   112    72    62 
#> 14.54 20.90 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95   104   160   186   109   146    17    48 174.1   182 104.1   102 186.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148    87    53    64   173   156     2   191   9.1    83    67  72.1 174.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119    65   103   152    38 118.1   122  72.2   165  65.1    27 191.1  64.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.2   141  83.1  87.1   193    20    75 193.1    46   116  87.2  17.1   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 112.1   185    71 118.2    74    47  65.3 178.1    21   135  20.1    44  64.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   2.1 103.1 152.1 156.1   162 162.1   120    80 141.1 156.2 165.1    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[70]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001665351               0.220596747              -0.104128123 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.088453707             0.001330173            -0.257133552 
#>   grade_iii, Cure model 
#>             0.426246105 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 169   22.41      1  46        0         0
#> 51    18.23      1  83        0         1
#> 60    13.15      1  38        1         0
#> 6     15.64      1  39        0         0
#> 57    14.46      1  45        0         1
#> 110   17.56      1  65        0         1
#> 171   16.57      1  41        0         1
#> 45    17.42      1  54        0         1
#> 78    23.88      1  43        0         0
#> 169.1 22.41      1  46        0         0
#> 69    23.23      1  25        0         1
#> 133   14.65      1  57        0         0
#> 166   19.98      1  48        0         0
#> 45.1  17.42      1  54        0         1
#> 106   16.67      1  49        1         0
#> 105   19.75      1  60        0         0
#> 155   13.08      1  26        0         0
#> 195   11.76      1  NA        1         0
#> 88    18.37      1  47        0         0
#> 32    20.90      1  37        1         0
#> 108   18.29      1  39        0         1
#> 100   16.07      1  60        0         0
#> 15    22.68      1  48        0         0
#> 99    21.19      1  38        0         1
#> 92    22.92      1  47        0         1
#> 128   20.35      1  35        0         1
#> 41    18.02      1  40        1         0
#> 37    12.52      1  57        1         0
#> 63    22.77      1  31        1         0
#> 190   20.81      1  42        1         0
#> 68    20.62      1  44        0         0
#> 166.1 19.98      1  48        0         0
#> 55    19.34      1  69        0         1
#> 96    14.54      1  33        0         1
#> 51.1  18.23      1  83        0         1
#> 183    9.24      1  67        1         0
#> 187    9.92      1  39        1         0
#> 5     16.43      1  51        0         1
#> 58    19.34      1  39        0         0
#> 88.1  18.37      1  47        0         0
#> 55.1  19.34      1  69        0         1
#> 52    10.42      1  52        0         1
#> 101    9.97      1  10        0         1
#> 130   16.47      1  53        0         1
#> 30    17.43      1  78        0         0
#> 58.1  19.34      1  39        0         0
#> 101.1  9.97      1  10        0         1
#> 56    12.21      1  60        0         0
#> 190.1 20.81      1  42        1         0
#> 158   20.14      1  74        1         0
#> 41.1  18.02      1  40        1         0
#> 117   17.46      1  26        0         1
#> 101.2  9.97      1  10        0         1
#> 194   22.40      1  38        0         1
#> 169.2 22.41      1  46        0         0
#> 92.1  22.92      1  47        0         1
#> 175   21.91      1  43        0         0
#> 8     18.43      1  32        0         0
#> 183.1  9.24      1  67        1         0
#> 134   17.81      1  47        1         0
#> 66    22.13      1  53        0         0
#> 14    12.89      1  21        0         0
#> 59    10.16      1  NA        1         0
#> 6.1   15.64      1  39        0         0
#> 55.2  19.34      1  69        0         1
#> 51.2  18.23      1  83        0         1
#> 63.1  22.77      1  31        1         0
#> 134.1 17.81      1  47        1         0
#> 23    16.92      1  61        0         0
#> 134.2 17.81      1  47        1         0
#> 93    10.33      1  52        0         1
#> 199   19.81      1  NA        0         1
#> 26    15.77      1  49        0         1
#> 164   23.60      1  76        0         1
#> 59.1  10.16      1  NA        1         0
#> 88.2  18.37      1  47        0         0
#> 40    18.00      1  28        1         0
#> 195.1 11.76      1  NA        1         0
#> 106.1 16.67      1  49        1         0
#> 157   15.10      1  47        0         0
#> 69.1  23.23      1  25        0         1
#> 90    20.94      1  50        0         1
#> 99.1  21.19      1  38        0         1
#> 56.1  12.21      1  60        0         0
#> 179   18.63      1  42        0         0
#> 61    10.12      1  36        0         1
#> 179.1 18.63      1  42        0         0
#> 36    21.19      1  48        0         1
#> 127    3.53      1  62        0         1
#> 136   21.83      1  43        0         1
#> 180   14.82      1  37        0         0
#> 158.1 20.14      1  74        1         0
#> 105.1 19.75      1  60        0         0
#> 99.2  21.19      1  38        0         1
#> 97    19.14      1  65        0         1
#> 139   21.49      1  63        1         0
#> 167   15.55      1  56        1         0
#> 164.1 23.60      1  76        0         1
#> 136.1 21.83      1  43        0         1
#> 113   22.86      1  34        0         0
#> 190.2 20.81      1  42        1         0
#> 43    12.10      1  61        0         1
#> 4     17.64      1  NA        0         1
#> 81    14.06      1  34        0         0
#> 18    15.21      1  49        1         0
#> 100.1 16.07      1  60        0         0
#> 59.2  10.16      1  NA        1         0
#> 63.2  22.77      1  31        1         0
#> 25     6.32      1  34        1         0
#> 195.2 11.76      1  NA        1         0
#> 8.1   18.43      1  32        0         0
#> 70     7.38      1  30        1         0
#> 143   24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 75    24.00      0  21        1         0
#> 102   24.00      0  49        0         0
#> 2     24.00      0   9        0         0
#> 9     24.00      0  31        1         0
#> 102.1 24.00      0  49        0         0
#> 142   24.00      0  53        0         0
#> 27    24.00      0  63        1         0
#> 165   24.00      0  47        0         0
#> 1     24.00      0  23        1         0
#> 143.1 24.00      0  51        0         0
#> 144   24.00      0  28        0         1
#> 64    24.00      0  43        0         0
#> 3     24.00      0  31        1         0
#> 84    24.00      0  39        0         1
#> 135   24.00      0  58        1         0
#> 138   24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 38    24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 104   24.00      0  50        1         0
#> 146   24.00      0  63        1         0
#> 84.1  24.00      0  39        0         1
#> 191   24.00      0  60        0         1
#> 11    24.00      0  42        0         1
#> 148   24.00      0  61        1         0
#> 73    24.00      0  NA        0         1
#> 165.1 24.00      0  47        0         0
#> 115   24.00      0  NA        1         0
#> 193   24.00      0  45        0         1
#> 131   24.00      0  66        0         0
#> 73.1  24.00      0  NA        0         1
#> 21    24.00      0  47        0         0
#> 162   24.00      0  51        0         0
#> 84.2  24.00      0  39        0         1
#> 200   24.00      0  64        0         0
#> 163   24.00      0  66        0         0
#> 142.1 24.00      0  53        0         0
#> 172   24.00      0  41        0         0
#> 20    24.00      0  46        1         0
#> 21.1  24.00      0  47        0         0
#> 104.1 24.00      0  50        1         0
#> 121   24.00      0  57        1         0
#> 28    24.00      0  67        1         0
#> 172.1 24.00      0  41        0         0
#> 20.1  24.00      0  46        1         0
#> 121.1 24.00      0  57        1         0
#> 65    24.00      0  57        1         0
#> 144.1 24.00      0  28        0         1
#> 72    24.00      0  40        0         1
#> 160   24.00      0  31        1         0
#> 191.1 24.00      0  60        0         1
#> 156   24.00      0  50        1         0
#> 142.2 24.00      0  53        0         0
#> 121.2 24.00      0  57        1         0
#> 54    24.00      0  53        1         0
#> 115.1 24.00      0  NA        1         0
#> 19    24.00      0  57        0         1
#> 82    24.00      0  34        0         0
#> 173   24.00      0  19        0         1
#> 103   24.00      0  56        1         0
#> 193.1 24.00      0  45        0         1
#> 178   24.00      0  52        1         0
#> 67    24.00      0  25        0         0
#> 9.1   24.00      0  31        1         0
#> 191.2 24.00      0  60        0         1
#> 95    24.00      0  68        0         1
#> 80    24.00      0  41        0         0
#> 112.1 24.00      0  61        0         0
#> 104.2 24.00      0  50        1         0
#> 83    24.00      0   6        0         0
#> 71    24.00      0  51        0         0
#> 53    24.00      0  32        0         1
#> 94    24.00      0  51        0         1
#> 22    24.00      0  52        1         0
#> 27.1  24.00      0  63        1         0
#> 172.2 24.00      0  41        0         0
#> 198   24.00      0  66        0         1
#> 135.1 24.00      0  58        1         0
#> 44    24.00      0  56        0         0
#> 64.1  24.00      0  43        0         0
#> 152.1 24.00      0  36        0         1
#> 31    24.00      0  36        0         1
#> 54.1  24.00      0  53        1         0
#> 109   24.00      0  48        0         0
#> 119   24.00      0  17        0         0
#> 120.1 24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.0885         NA        NA      NA
#> 2 age, Cure model          0.00133        NA        NA      NA
#> 3 grade_ii, Cure model    -0.257          NA        NA      NA
#> 4 grade_iii, Cure model    0.426          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00167        NA        NA      NA
#> 2 grade_ii, Survival model   0.221          NA        NA      NA
#> 3 grade_iii, Survival model -0.104          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          0.08845           0.00133          -0.25713           0.42625  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258.5 
#> Residual Deviance: 254.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.088453707      0.001330173     -0.257133552      0.426246105 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001665351      0.220596747     -0.104128123 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.149094026 0.538065954 0.834414632 0.745858834 0.816737527 0.620156075
#>   [7] 0.692222733 0.647364535 0.009892147 0.149094026 0.047643135 0.799065054
#>  [13] 0.370476061 0.647364535 0.674413940 0.389517205 0.843219822 0.500987128
#>  [19] 0.292321657 0.528667020 0.719128018 0.138077700 0.242501542 0.071083980
#>  [25] 0.341433766 0.565724010 0.860818837 0.107409728 0.302622671 0.331527084
#>  [31] 0.370476061 0.408461238 0.807898971 0.538065954 0.956794115 0.948050163
#>  [37] 0.710157550 0.408461238 0.500987128 0.408461238 0.895733296 0.921980778
#>  [43] 0.701189238 0.638304387 0.408461238 0.921980778 0.869583497 0.302622671
#>  [49] 0.351353363 0.565724010 0.629226369 0.921980778 0.179290385 0.149094026
#>  [55] 0.071083980 0.200666960 0.482274936 0.956794115 0.593339647 0.190006326
#>  [61] 0.852020946 0.745858834 0.408461238 0.538065954 0.107409728 0.593339647
#>  [67] 0.665365115 0.593339647 0.904480268 0.736910750 0.025094156 0.500987128
#>  [73] 0.584115296 0.674413940 0.781371457 0.047643135 0.281900960 0.242501542
#>  [79] 0.869583497 0.463523016 0.913228711 0.463523016 0.242501542 0.991367460
#>  [85] 0.211285857 0.790221402 0.351353363 0.389517205 0.242501542 0.454022181
#>  [91] 0.232056669 0.763619249 0.025094156 0.211285857 0.094797134 0.302622671
#>  [97] 0.886987809 0.825578835 0.772513344 0.719128018 0.107409728 0.982734986
#> [103] 0.482274936 0.974078221 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000
#> 
#> $Time
#>   169    51    60     6    57   110   171    45    78 169.1    69   133   166 
#> 22.41 18.23 13.15 15.64 14.46 17.56 16.57 17.42 23.88 22.41 23.23 14.65 19.98 
#>  45.1   106   105   155    88    32   108   100    15    99    92   128    41 
#> 17.42 16.67 19.75 13.08 18.37 20.90 18.29 16.07 22.68 21.19 22.92 20.35 18.02 
#>    37    63   190    68 166.1    55    96  51.1   183   187     5    58  88.1 
#> 12.52 22.77 20.81 20.62 19.98 19.34 14.54 18.23  9.24  9.92 16.43 19.34 18.37 
#>  55.1    52   101   130    30  58.1 101.1    56 190.1   158  41.1   117 101.2 
#> 19.34 10.42  9.97 16.47 17.43 19.34  9.97 12.21 20.81 20.14 18.02 17.46  9.97 
#>   194 169.2  92.1   175     8 183.1   134    66    14   6.1  55.2  51.2  63.1 
#> 22.40 22.41 22.92 21.91 18.43  9.24 17.81 22.13 12.89 15.64 19.34 18.23 22.77 
#> 134.1    23 134.2    93    26   164  88.2    40 106.1   157  69.1    90  99.1 
#> 17.81 16.92 17.81 10.33 15.77 23.60 18.37 18.00 16.67 15.10 23.23 20.94 21.19 
#>  56.1   179    61 179.1    36   127   136   180 158.1 105.1  99.2    97   139 
#> 12.21 18.63 10.12 18.63 21.19  3.53 21.83 14.82 20.14 19.75 21.19 19.14 21.49 
#>   167 164.1 136.1   113 190.2    43    81    18 100.1  63.2    25   8.1    70 
#> 15.55 23.60 21.83 22.86 20.81 12.10 14.06 15.21 16.07 22.77  6.32 18.43  7.38 
#>   143   152    75   102     2     9 102.1   142    27   165     1 143.1   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64     3    84   135   138   112    38   120   104   146  84.1   191    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148 165.1   193   131    21   162  84.2   200   163 142.1   172    20  21.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 104.1   121    28 172.1  20.1 121.1    65 144.1    72   160 191.1   156 142.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 121.2    54    19    82   173   103 193.1   178    67   9.1 191.2    95    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 112.1 104.2    83    71    53    94    22  27.1 172.2   198 135.1    44  64.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 152.1    31  54.1   109   119 120.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[71]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01712362                0.45174659                0.31532580 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.135359943            -0.002140757             0.078554505 
#>   grade_iii, Cure model 
#>             0.315501584 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 187    9.92      1  39        1         0
#> 184   17.77      1  38        0         0
#> 154   12.63      1  20        1         0
#> 39    15.59      1  37        0         1
#> 129   23.41      1  53        1         0
#> 29    15.45      1  68        1         0
#> 23    16.92      1  61        0         0
#> 199   19.81      1  NA        0         1
#> 190   20.81      1  42        1         0
#> 91     5.33      1  61        0         1
#> 154.1 12.63      1  20        1         0
#> 149    8.37      1  33        1         0
#> 100   16.07      1  60        0         0
#> 4     17.64      1  NA        0         1
#> 92    22.92      1  47        0         1
#> 171   16.57      1  41        0         1
#> 153   21.33      1  55        1         0
#> 155   13.08      1  26        0         0
#> 134   17.81      1  47        1         0
#> 42    12.43      1  49        0         1
#> 91.1   5.33      1  61        0         1
#> 127    3.53      1  62        0         1
#> 50    10.02      1  NA        1         0
#> 42.1  12.43      1  49        0         1
#> 153.1 21.33      1  55        1         0
#> 41    18.02      1  40        1         0
#> 106   16.67      1  49        1         0
#> 180   14.82      1  37        0         0
#> 68    20.62      1  44        0         0
#> 49    12.19      1  48        1         0
#> 111   17.45      1  47        0         1
#> 66    22.13      1  53        0         0
#> 117   17.46      1  26        0         1
#> 157   15.10      1  47        0         0
#> 89    11.44      1  NA        0         0
#> 110   17.56      1  65        0         1
#> 168   23.72      1  70        0         0
#> 117.1 17.46      1  26        0         1
#> 164   23.60      1  76        0         1
#> 45    17.42      1  54        0         1
#> 192   16.44      1  31        1         0
#> 168.1 23.72      1  70        0         0
#> 129.1 23.41      1  53        1         0
#> 68.1  20.62      1  44        0         0
#> 134.1 17.81      1  47        1         0
#> 4.1   17.64      1  NA        0         1
#> 86    23.81      1  58        0         1
#> 149.1  8.37      1  33        1         0
#> 50.1  10.02      1  NA        1         0
#> 100.1 16.07      1  60        0         0
#> 133   14.65      1  57        0         0
#> 51    18.23      1  83        0         1
#> 195   11.76      1  NA        1         0
#> 49.1  12.19      1  48        1         0
#> 100.2 16.07      1  60        0         0
#> 49.2  12.19      1  48        1         0
#> 108   18.29      1  39        0         1
#> 8     18.43      1  32        0         0
#> 124    9.73      1  NA        1         0
#> 58    19.34      1  39        0         0
#> 139   21.49      1  63        1         0
#> 14    12.89      1  21        0         0
#> 145   10.07      1  65        1         0
#> 195.1 11.76      1  NA        1         0
#> 97    19.14      1  65        0         1
#> 99    21.19      1  38        0         1
#> 124.1  9.73      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 32    20.90      1  37        1         0
#> 105   19.75      1  60        0         0
#> 16     8.71      1  71        0         1
#> 125   15.65      1  67        1         0
#> 197   21.60      1  69        1         0
#> 15    22.68      1  48        0         0
#> 140   12.68      1  59        1         0
#> 136.1 21.83      1  43        0         1
#> 110.1 17.56      1  65        0         1
#> 113   22.86      1  34        0         0
#> 6     15.64      1  39        0         0
#> 192.1 16.44      1  31        1         0
#> 99.1  21.19      1  38        0         1
#> 61    10.12      1  36        0         1
#> 187.1  9.92      1  39        1         0
#> 154.2 12.63      1  20        1         0
#> 155.1 13.08      1  26        0         0
#> 91.2   5.33      1  61        0         1
#> 89.1  11.44      1  NA        0         0
#> 100.3 16.07      1  60        0         0
#> 99.2  21.19      1  38        0         1
#> 195.2 11.76      1  NA        1         0
#> 105.1 19.75      1  60        0         0
#> 29.1  15.45      1  68        1         0
#> 197.1 21.60      1  69        1         0
#> 18    15.21      1  49        1         0
#> 5     16.43      1  51        0         1
#> 25     6.32      1  34        1         0
#> 129.2 23.41      1  53        1         0
#> 58.1  19.34      1  39        0         0
#> 180.1 14.82      1  37        0         0
#> 25.1   6.32      1  34        1         0
#> 24    23.89      1  38        0         0
#> 157.1 15.10      1  47        0         0
#> 43    12.10      1  61        0         1
#> 110.2 17.56      1  65        0         1
#> 125.1 15.65      1  67        1         0
#> 32.1  20.90      1  37        1         0
#> 40    18.00      1  28        1         0
#> 77     7.27      1  67        0         1
#> 149.2  8.37      1  33        1         0
#> 168.2 23.72      1  70        0         0
#> 59    10.16      1  NA        1         0
#> 180.2 14.82      1  37        0         0
#> 118   24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 147   24.00      0  76        1         0
#> 27    24.00      0  63        1         0
#> 64    24.00      0  43        0         0
#> 17    24.00      0  38        0         1
#> 193   24.00      0  45        0         1
#> 38    24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 33    24.00      0  53        0         0
#> 82    24.00      0  34        0         0
#> 109   24.00      0  48        0         0
#> 62    24.00      0  71        0         0
#> 82.1  24.00      0  34        0         0
#> 115   24.00      0  NA        1         0
#> 141   24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 72    24.00      0  40        0         1
#> 116   24.00      0  58        0         1
#> 115.1 24.00      0  NA        1         0
#> 74    24.00      0  43        0         1
#> 160   24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 176   24.00      0  43        0         1
#> 116.1 24.00      0  58        0         1
#> 17.1  24.00      0  38        0         1
#> 131   24.00      0  66        0         0
#> 120   24.00      0  68        0         1
#> 163   24.00      0  66        0         0
#> 165   24.00      0  47        0         0
#> 142.1 24.00      0  53        0         0
#> 156   24.00      0  50        1         0
#> 94    24.00      0  51        0         1
#> 152   24.00      0  36        0         1
#> 156.1 24.00      0  50        1         0
#> 7     24.00      0  37        1         0
#> 28    24.00      0  67        1         0
#> 122   24.00      0  66        0         0
#> 21    24.00      0  47        0         0
#> 17.2  24.00      0  38        0         1
#> 148   24.00      0  61        1         0
#> 19    24.00      0  57        0         1
#> 22    24.00      0  52        1         0
#> 118.1 24.00      0  44        1         0
#> 146.1 24.00      0  63        1         0
#> 186   24.00      0  45        1         0
#> 104   24.00      0  50        1         0
#> 174   24.00      0  49        1         0
#> 65    24.00      0  57        1         0
#> 34    24.00      0  36        0         0
#> 34.1  24.00      0  36        0         0
#> 156.2 24.00      0  50        1         0
#> 7.1   24.00      0  37        1         0
#> 94.1  24.00      0  51        0         1
#> 182   24.00      0  35        0         0
#> 20    24.00      0  46        1         0
#> 200   24.00      0  64        0         0
#> 142.2 24.00      0  53        0         0
#> 115.2 24.00      0  NA        1         0
#> 65.1  24.00      0  57        1         0
#> 98    24.00      0  34        1         0
#> 118.2 24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 121   24.00      0  57        1         0
#> 132   24.00      0  55        0         0
#> 20.1  24.00      0  46        1         0
#> 31    24.00      0  36        0         1
#> 72.1  24.00      0  40        0         1
#> 165.1 24.00      0  47        0         0
#> 172   24.00      0  41        0         0
#> 94.2  24.00      0  51        0         1
#> 156.3 24.00      0  50        1         0
#> 186.1 24.00      0  45        1         0
#> 198   24.00      0  66        0         1
#> 44    24.00      0  56        0         0
#> 191   24.00      0  60        0         1
#> 121.1 24.00      0  57        1         0
#> 118.3 24.00      0  44        1         0
#> 163.1 24.00      0  66        0         0
#> 146.2 24.00      0  63        1         0
#> 2     24.00      0   9        0         0
#> 182.1 24.00      0  35        0         0
#> 176.1 24.00      0  43        0         1
#> 148.1 24.00      0  61        1         0
#> 95    24.00      0  68        0         1
#> 131.1 24.00      0  66        0         0
#> 98.1  24.00      0  34        1         0
#> 80    24.00      0  41        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.135          NA        NA      NA
#> 2 age, Cure model         -0.00214        NA        NA      NA
#> 3 grade_ii, Cure model     0.0786         NA        NA      NA
#> 4 grade_iii, Cure model    0.316          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0171        NA        NA      NA
#> 2 grade_ii, Survival model    0.452         NA        NA      NA
#> 3 grade_iii, Survival model   0.315         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.135360         -0.002141          0.078555          0.315502  
#> 
#> Degrees of Freedom: 183 Total (i.e. Null);  180 Residual
#> Null Deviance:	    254 
#> Residual Deviance: 253.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.135359943     -0.002140757      0.078554505      0.315501584 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01712362       0.45174659       0.31532580 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 7.934241e-01 2.134853e-01 6.309189e-01 4.400325e-01 6.745993e-03
#>   [6] 4.526623e-01 2.922243e-01 9.347073e-02 9.346706e-01 6.309189e-01
#>  [11] 8.400829e-01 3.572585e-01 1.375909e-02 3.136815e-01 5.239232e-02
#>  [16] 5.731161e-01 1.955209e-01 6.736683e-01 9.346706e-01 9.833509e-01
#>  [21] 6.736683e-01 5.239232e-02 1.776376e-01 3.028919e-01 5.180245e-01
#>  [26] 9.998728e-02 7.029895e-01 2.715552e-01 2.420959e-02 2.517299e-01
#>  [31] 4.913918e-01 2.228576e-01 9.272740e-04 2.517299e-01 4.373349e-03
#>  [36] 2.818033e-01 3.245916e-01 9.272740e-04 6.745993e-03 9.998728e-02
#>  [41] 1.955209e-01 3.510055e-04 8.400829e-01 3.572585e-01 5.589172e-01
#>  [46] 1.687944e-01 7.029895e-01 3.572585e-01 7.029895e-01 1.602508e-01
#>  [51] 1.518404e-01 1.281289e-01 4.690273e-02 6.016642e-01 7.779444e-01
#>  [56] 1.436221e-01 6.366871e-02 2.842939e-02 8.108747e-02 1.134986e-01
#>  [61] 8.243136e-01 4.031475e-01 3.706961e-02 2.038775e-02 6.162172e-01
#>  [66] 2.842939e-02 2.228576e-01 1.692993e-02 4.275009e-01 3.245916e-01
#>  [71] 6.366871e-02 7.626123e-01 7.934241e-01 6.309189e-01 5.731161e-01
#>  [76] 9.346706e-01 3.572585e-01 6.366871e-02 1.134986e-01 4.526623e-01
#>  [81] 3.706961e-02 4.782882e-01 3.461538e-01 9.027960e-01 6.745993e-03
#>  [86] 1.281289e-01 5.180245e-01 9.027960e-01 5.162078e-05 4.913918e-01
#>  [91] 7.473600e-01 2.228576e-01 4.031475e-01 8.108747e-02 1.865734e-01
#>  [96] 8.867853e-01 8.400829e-01 9.272740e-04 5.180245e-01 0.000000e+00
#> [101] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>   187   184   154    39   129    29    23   190    91 154.1   149   100    92 
#>  9.92 17.77 12.63 15.59 23.41 15.45 16.92 20.81  5.33 12.63  8.37 16.07 22.92 
#>   171   153   155   134    42  91.1   127  42.1 153.1    41   106   180    68 
#> 16.57 21.33 13.08 17.81 12.43  5.33  3.53 12.43 21.33 18.02 16.67 14.82 20.62 
#>    49   111    66   117   157   110   168 117.1   164    45   192 168.1 129.1 
#> 12.19 17.45 22.13 17.46 15.10 17.56 23.72 17.46 23.60 17.42 16.44 23.72 23.41 
#>  68.1 134.1    86 149.1 100.1   133    51  49.1 100.2  49.2   108     8    58 
#> 20.62 17.81 23.81  8.37 16.07 14.65 18.23 12.19 16.07 12.19 18.29 18.43 19.34 
#>   139    14   145    97    99   136    32   105    16   125   197    15   140 
#> 21.49 12.89 10.07 19.14 21.19 21.83 20.90 19.75  8.71 15.65 21.60 22.68 12.68 
#> 136.1 110.1   113     6 192.1  99.1    61 187.1 154.2 155.1  91.2 100.3  99.2 
#> 21.83 17.56 22.86 15.64 16.44 21.19 10.12  9.92 12.63 13.08  5.33 16.07 21.19 
#> 105.1  29.1 197.1    18     5    25 129.2  58.1 180.1  25.1    24 157.1    43 
#> 19.75 15.45 21.60 15.21 16.43  6.32 23.41 19.34 14.82  6.32 23.89 15.10 12.10 
#> 110.2 125.1  32.1    40    77 149.2 168.2 180.2   118   173   147    27    64 
#> 17.56 15.65 20.90 18.00  7.27  8.37 23.72 14.82 24.00 24.00 24.00 24.00 24.00 
#>    17   193    38   142    33    82   109    62  82.1   141   146    72   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    74   160   196   176 116.1  17.1   131   120   163   165 142.1   156    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152 156.1     7    28   122    21  17.2   148    19    22 118.1 146.1   186 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104   174    65    34  34.1 156.2   7.1  94.1   182    20   200 142.2  65.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98 118.2   151   121   132  20.1    31  72.1 165.1   172  94.2 156.3 186.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198    44   191 121.1 118.3 163.1 146.2     2 182.1 176.1 148.1    95 131.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.1    80 
#> 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[72]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002591651               0.715391074               0.224845965 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.26820212              0.02394532              0.52479787 
#>   grade_iii, Cure model 
#>              0.88975880 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 81    14.06      1  34        0         0
#> 56    12.21      1  60        0         0
#> 40    18.00      1  28        1         0
#> 133   14.65      1  57        0         0
#> 171   16.57      1  41        0         1
#> 86    23.81      1  58        0         1
#> 184   17.77      1  38        0         0
#> 32    20.90      1  37        1         0
#> 153   21.33      1  55        1         0
#> 16     8.71      1  71        0         1
#> 101    9.97      1  10        0         1
#> 69    23.23      1  25        0         1
#> 170   19.54      1  43        0         1
#> 41    18.02      1  40        1         0
#> 145   10.07      1  65        1         0
#> 89    11.44      1  NA        0         0
#> 100   16.07      1  60        0         0
#> 70     7.38      1  30        1         0
#> 37    12.52      1  57        1         0
#> 187    9.92      1  39        1         0
#> 183    9.24      1  67        1         0
#> 168   23.72      1  70        0         0
#> 159   10.55      1  50        0         1
#> 100.1 16.07      1  60        0         0
#> 139   21.49      1  63        1         0
#> 25     6.32      1  34        1         0
#> 97    19.14      1  65        0         1
#> 168.1 23.72      1  70        0         0
#> 169   22.41      1  46        0         0
#> 6     15.64      1  39        0         0
#> 96    14.54      1  33        0         1
#> 139.1 21.49      1  63        1         0
#> 105   19.75      1  60        0         0
#> 106   16.67      1  49        1         0
#> 189   10.51      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 195   11.76      1  NA        1         0
#> 63    22.77      1  31        1         0
#> 32.1  20.90      1  37        1         0
#> 197   21.60      1  69        1         0
#> 30    17.43      1  78        0         0
#> 113   22.86      1  34        0         0
#> 168.2 23.72      1  70        0         0
#> 187.1  9.92      1  39        1         0
#> 78    23.88      1  43        0         0
#> 154   12.63      1  20        1         0
#> 107   11.18      1  54        1         0
#> 92    22.92      1  47        0         1
#> 180   14.82      1  37        0         0
#> 190   20.81      1  42        1         0
#> 85    16.44      1  36        0         0
#> 153.1 21.33      1  55        1         0
#> 133.1 14.65      1  57        0         0
#> 149    8.37      1  33        1         0
#> 78.1  23.88      1  43        0         0
#> 106.1 16.67      1  49        1         0
#> 179   18.63      1  42        0         0
#> 150   20.33      1  48        0         0
#> 125   15.65      1  67        1         0
#> 134   17.81      1  47        1         0
#> 58    19.34      1  39        0         0
#> 187.2  9.92      1  39        1         0
#> 29    15.45      1  68        1         0
#> 99    21.19      1  38        0         1
#> 181   16.46      1  45        0         1
#> 60    13.15      1  38        1         0
#> 59    10.16      1  NA        1         0
#> 154.1 12.63      1  20        1         0
#> 192   16.44      1  31        1         0
#> 194   22.40      1  38        0         1
#> 130   16.47      1  53        0         1
#> 89.1  11.44      1  NA        0         0
#> 43    12.10      1  61        0         1
#> 79    16.23      1  54        1         0
#> 125.1 15.65      1  67        1         0
#> 100.2 16.07      1  60        0         0
#> 29.1  15.45      1  68        1         0
#> 134.1 17.81      1  47        1         0
#> 158   20.14      1  74        1         0
#> 43.1  12.10      1  61        0         1
#> 69.1  23.23      1  25        0         1
#> 123   13.00      1  44        1         0
#> 183.1  9.24      1  67        1         0
#> 52    10.42      1  52        0         1
#> 37.1  12.52      1  57        1         0
#> 30.1  17.43      1  78        0         0
#> 99.1  21.19      1  38        0         1
#> 57    14.46      1  45        0         1
#> 184.1 17.77      1  38        0         0
#> 91     5.33      1  61        0         1
#> 153.2 21.33      1  55        1         0
#> 16.1   8.71      1  71        0         1
#> 10    10.53      1  34        0         0
#> 167   15.55      1  56        1         0
#> 51    18.23      1  83        0         1
#> 70.1   7.38      1  30        1         0
#> 40.1  18.00      1  28        1         0
#> 188   16.16      1  46        0         1
#> 128   20.35      1  35        0         1
#> 184.2 17.77      1  38        0         0
#> 14    12.89      1  21        0         0
#> 29.2  15.45      1  68        1         0
#> 30.2  17.43      1  78        0         0
#> 133.2 14.65      1  57        0         0
#> 113.1 22.86      1  34        0         0
#> 92.1  22.92      1  47        0         1
#> 14.1  12.89      1  21        0         0
#> 13    14.34      1  54        0         1
#> 194.1 22.40      1  38        0         1
#> 199   19.81      1  NA        0         1
#> 168.3 23.72      1  70        0         0
#> 124    9.73      1  NA        1         0
#> 173   24.00      0  19        0         1
#> 83    24.00      0   6        0         0
#> 82    24.00      0  34        0         0
#> 34    24.00      0  36        0         0
#> 120   24.00      0  68        0         1
#> 22    24.00      0  52        1         0
#> 143   24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 191   24.00      0  60        0         1
#> 75    24.00      0  21        1         0
#> 141   24.00      0  44        1         0
#> 165   24.00      0  47        0         0
#> 48    24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 62    24.00      0  71        0         0
#> 27    24.00      0  63        1         0
#> 191.1 24.00      0  60        0         1
#> 147   24.00      0  76        1         0
#> 122   24.00      0  66        0         0
#> 141.1 24.00      0  44        1         0
#> 182   24.00      0  35        0         0
#> 1     24.00      0  23        1         0
#> 1.1   24.00      0  23        1         0
#> 151   24.00      0  42        0         0
#> 67    24.00      0  25        0         0
#> 135   24.00      0  58        1         0
#> 138   24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 126   24.00      0  48        0         0
#> 191.2 24.00      0  60        0         1
#> 172   24.00      0  41        0         0
#> 146   24.00      0  63        1         0
#> 112   24.00      0  61        0         0
#> 12    24.00      0  63        0         0
#> 115   24.00      0  NA        1         0
#> 146.1 24.00      0  63        1         0
#> 72    24.00      0  40        0         1
#> 67.1  24.00      0  25        0         0
#> 2     24.00      0   9        0         0
#> 165.1 24.00      0  47        0         0
#> 104   24.00      0  50        1         0
#> 122.1 24.00      0  66        0         0
#> 173.1 24.00      0  19        0         1
#> 142   24.00      0  53        0         0
#> 87    24.00      0  27        0         0
#> 121   24.00      0  57        1         0
#> 74    24.00      0  43        0         1
#> 141.2 24.00      0  44        1         0
#> 182.1 24.00      0  35        0         0
#> 72.1  24.00      0  40        0         1
#> 7     24.00      0  37        1         0
#> 75.1  24.00      0  21        1         0
#> 109   24.00      0  48        0         0
#> 64    24.00      0  43        0         0
#> 160   24.00      0  31        1         0
#> 73.1  24.00      0  NA        0         1
#> 116   24.00      0  58        0         1
#> 65    24.00      0  57        1         0
#> 126.1 24.00      0  48        0         0
#> 87.1  24.00      0  27        0         0
#> 87.2  24.00      0  27        0         0
#> 132   24.00      0  55        0         0
#> 151.1 24.00      0  42        0         0
#> 178   24.00      0  52        1         0
#> 11    24.00      0  42        0         1
#> 83.1  24.00      0   6        0         0
#> 143.1 24.00      0  51        0         0
#> 20    24.00      0  46        1         0
#> 73.2  24.00      0  NA        0         1
#> 126.2 24.00      0  48        0         0
#> 48.1  24.00      0  31        1         0
#> 120.1 24.00      0  68        0         1
#> 65.1  24.00      0  57        1         0
#> 12.1  24.00      0  63        0         0
#> 172.1 24.00      0  41        0         0
#> 17    24.00      0  38        0         1
#> 142.1 24.00      0  53        0         0
#> 31    24.00      0  36        0         1
#> 196   24.00      0  19        0         0
#> 196.1 24.00      0  19        0         0
#> 34.1  24.00      0  36        0         0
#> 67.2  24.00      0  25        0         0
#> 196.2 24.00      0  19        0         0
#> 1.2   24.00      0  23        1         0
#> 75.2  24.00      0  21        1         0
#> 20.1  24.00      0  46        1         0
#> 104.1 24.00      0  50        1         0
#> 21    24.00      0  47        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.27          NA        NA      NA
#> 2 age, Cure model           0.0239        NA        NA      NA
#> 3 grade_ii, Cure model      0.525         NA        NA      NA
#> 4 grade_iii, Cure model     0.890         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00259        NA        NA      NA
#> 2 grade_ii, Survival model   0.715          NA        NA      NA
#> 3 grade_iii, Survival model  0.225          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.26820           0.02395           0.52480           0.88976  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    259.7 
#> Residual Deviance: 247.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.26820212       0.02394532       0.52479787       0.88975880 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002591651      0.715391074      0.224845965 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.77180695 0.84304551 0.46564139 0.72314586 0.57170934 0.03869431
#>   [7] 0.50141381 0.33929815 0.28742243 0.94920616 0.90465014 0.10452456
#>  [13] 0.40781699 0.45613667 0.89700855 0.63210842 0.97123008 0.82761609
#>  [19] 0.91227754 0.93450009 0.05484737 0.87393386 0.63210842 0.26439220
#>  [25] 0.98563629 0.42713033 0.05484737 0.19971249 0.67417157 0.74737692
#>  [31] 0.26439220 0.39814359 0.55430316 0.23871978 0.18639053 0.33929815
#>  [37] 0.25178814 0.52773711 0.15903004 0.05484737 0.91227754 0.01265187
#>  [43] 0.81196371 0.86623721 0.13207118 0.71501478 0.35910464 0.59793082
#>  [49] 0.28742243 0.72314586 0.96390276 0.01265187 0.55430316 0.43678508
#>  [55] 0.37869685 0.65746646 0.48379544 0.41746292 0.91227754 0.69092265
#>  [61] 0.31844806 0.58920421 0.77994906 0.81196371 0.59793082 0.21313538
#>  [67] 0.58046280 0.85080612 0.61505870 0.65746646 0.63210842 0.69092265
#>  [73] 0.48379544 0.38850393 0.85080612 0.10452456 0.78801929 0.93450009
#>  [79] 0.88931928 0.82761609 0.52773711 0.31844806 0.75552952 0.50141381
#>  [85] 0.99281994 0.28742243 0.94920616 0.88162374 0.68258661 0.44646190
#>  [91] 0.97123008 0.46564139 0.62359005 0.36891941 0.50141381 0.79602195
#>  [97] 0.69092265 0.52773711 0.72314586 0.15903004 0.13207118 0.79602195
#> [103] 0.76367207 0.21313538 0.05484737 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    81    56    40   133   171    86   184    32   153    16   101    69   170 
#> 14.06 12.21 18.00 14.65 16.57 23.81 17.77 20.90 21.33  8.71  9.97 23.23 19.54 
#>    41   145   100    70    37   187   183   168   159 100.1   139    25    97 
#> 18.02 10.07 16.07  7.38 12.52  9.92  9.24 23.72 10.55 16.07 21.49  6.32 19.14 
#> 168.1   169     6    96 139.1   105   106   136    63  32.1   197    30   113 
#> 23.72 22.41 15.64 14.54 21.49 19.75 16.67 21.83 22.77 20.90 21.60 17.43 22.86 
#> 168.2 187.1    78   154   107    92   180   190    85 153.1 133.1   149  78.1 
#> 23.72  9.92 23.88 12.63 11.18 22.92 14.82 20.81 16.44 21.33 14.65  8.37 23.88 
#> 106.1   179   150   125   134    58 187.2    29    99   181    60 154.1   192 
#> 16.67 18.63 20.33 15.65 17.81 19.34  9.92 15.45 21.19 16.46 13.15 12.63 16.44 
#>   194   130    43    79 125.1 100.2  29.1 134.1   158  43.1  69.1   123 183.1 
#> 22.40 16.47 12.10 16.23 15.65 16.07 15.45 17.81 20.14 12.10 23.23 13.00  9.24 
#>    52  37.1  30.1  99.1    57 184.1    91 153.2  16.1    10   167    51  70.1 
#> 10.42 12.52 17.43 21.19 14.46 17.77  5.33 21.33  8.71 10.53 15.55 18.23  7.38 
#>  40.1   188   128 184.2    14  29.2  30.2 133.2 113.1  92.1  14.1    13 194.1 
#> 18.00 16.16 20.35 17.77 12.89 15.45 17.43 14.65 22.86 22.92 12.89 14.34 22.40 
#> 168.3   173    83    82    34   120    22   143   185   191    75   141   165 
#> 23.72 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48   137    62    27 191.1   147   122 141.1   182     1   1.1   151    67 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135   138   126 191.2   172   146   112    12 146.1    72  67.1     2 165.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104 122.1 173.1   142    87   121    74 141.2 182.1  72.1     7  75.1   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64   160   116    65 126.1  87.1  87.2   132 151.1   178    11  83.1 143.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20 126.2  48.1 120.1  65.1  12.1 172.1    17 142.1    31   196 196.1  34.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  67.2 196.2   1.2  75.2  20.1 104.1    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[73]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.009092172               0.431488959               0.238107041 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.564203584             0.007808639             0.263149264 
#>   grade_iii, Cure model 
#>             0.894573107 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 91     5.33      1  61        0         1
#> 24    23.89      1  38        0         0
#> 23    16.92      1  61        0         0
#> 92    22.92      1  47        0         1
#> 184   17.77      1  38        0         0
#> 100   16.07      1  60        0         0
#> 140   12.68      1  59        1         0
#> 66    22.13      1  53        0         0
#> 188   16.16      1  46        0         1
#> 100.1 16.07      1  60        0         0
#> 29    15.45      1  68        1         0
#> 110   17.56      1  65        0         1
#> 55    19.34      1  69        0         1
#> 197   21.60      1  69        1         0
#> 25     6.32      1  34        1         0
#> 99    21.19      1  38        0         1
#> 25.1   6.32      1  34        1         0
#> 123   13.00      1  44        1         0
#> 8     18.43      1  32        0         0
#> 6     15.64      1  39        0         0
#> 139   21.49      1  63        1         0
#> 128   20.35      1  35        0         1
#> 140.1 12.68      1  59        1         0
#> 111   17.45      1  47        0         1
#> 56    12.21      1  60        0         0
#> 136   21.83      1  43        0         1
#> 164   23.60      1  76        0         1
#> 117   17.46      1  26        0         1
#> 61    10.12      1  36        0         1
#> 166   19.98      1  48        0         0
#> 41    18.02      1  40        1         0
#> 4     17.64      1  NA        0         1
#> 123.1 13.00      1  44        1         0
#> 107   11.18      1  54        1         0
#> 42    12.43      1  49        0         1
#> 32    20.90      1  37        1         0
#> 139.1 21.49      1  63        1         0
#> 100.2 16.07      1  60        0         0
#> 42.1  12.43      1  49        0         1
#> 89    11.44      1  NA        0         0
#> 117.1 17.46      1  26        0         1
#> 99.1  21.19      1  38        0         1
#> 14    12.89      1  21        0         0
#> 24.1  23.89      1  38        0         0
#> 50    10.02      1  NA        1         0
#> 58    19.34      1  39        0         0
#> 56.1  12.21      1  60        0         0
#> 14.1  12.89      1  21        0         0
#> 187    9.92      1  39        1         0
#> 99.2  21.19      1  38        0         1
#> 77     7.27      1  67        0         1
#> 154   12.63      1  20        1         0
#> 199   19.81      1  NA        0         1
#> 78    23.88      1  43        0         0
#> 159   10.55      1  50        0         1
#> 136.1 21.83      1  43        0         1
#> 86    23.81      1  58        0         1
#> 171   16.57      1  41        0         1
#> 60    13.15      1  38        1         0
#> 96    14.54      1  33        0         1
#> 157   15.10      1  47        0         0
#> 70     7.38      1  30        1         0
#> 145   10.07      1  65        1         0
#> 30    17.43      1  78        0         0
#> 181   16.46      1  45        0         1
#> 129   23.41      1  53        1         0
#> 51    18.23      1  83        0         1
#> 91.1   5.33      1  61        0         1
#> 129.1 23.41      1  53        1         0
#> 8.1   18.43      1  32        0         0
#> 124    9.73      1  NA        1         0
#> 60.1  13.15      1  38        1         0
#> 195   11.76      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 60.2  13.15      1  38        1         0
#> 39    15.59      1  37        0         1
#> 89.1  11.44      1  NA        0         0
#> 23.1  16.92      1  61        0         0
#> 149    8.37      1  33        1         0
#> 125   15.65      1  67        1         0
#> 166.1 19.98      1  48        0         0
#> 100.3 16.07      1  60        0         0
#> 166.2 19.98      1  48        0         0
#> 76    19.22      1  54        0         1
#> 195.1 11.76      1  NA        1         0
#> 164.1 23.60      1  76        0         1
#> 124.1  9.73      1  NA        1         0
#> 129.2 23.41      1  53        1         0
#> 16     8.71      1  71        0         1
#> 81    14.06      1  34        0         0
#> 157.1 15.10      1  47        0         0
#> 190   20.81      1  42        1         0
#> 101    9.97      1  10        0         1
#> 157.2 15.10      1  47        0         0
#> 145.1 10.07      1  65        1         0
#> 51.1  18.23      1  83        0         1
#> 158   20.14      1  74        1         0
#> 97    19.14      1  65        0         1
#> 50.1  10.02      1  NA        1         0
#> 70.1   7.38      1  30        1         0
#> 110.1 17.56      1  65        0         1
#> 92.1  22.92      1  47        0         1
#> 57    14.46      1  45        0         1
#> 13    14.34      1  54        0         1
#> 92.2  22.92      1  47        0         1
#> 129.3 23.41      1  53        1         0
#> 93    10.33      1  52        0         1
#> 37    12.52      1  57        1         0
#> 180   14.82      1  37        0         0
#> 105   19.75      1  60        0         0
#> 16.1   8.71      1  71        0         1
#> 175   21.91      1  43        0         0
#> 143   24.00      0  51        0         0
#> 64    24.00      0  43        0         0
#> 135   24.00      0  58        1         0
#> 185   24.00      0  44        1         0
#> 115   24.00      0  NA        1         0
#> 138   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 46    24.00      0  71        0         0
#> 12    24.00      0  63        0         0
#> 21    24.00      0  47        0         0
#> 38    24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 19    24.00      0  57        0         1
#> 53    24.00      0  32        0         1
#> 87    24.00      0  27        0         0
#> 73    24.00      0  NA        0         1
#> 200   24.00      0  64        0         0
#> 161   24.00      0  45        0         0
#> 161.1 24.00      0  45        0         0
#> 162   24.00      0  51        0         0
#> 156.1 24.00      0  50        1         0
#> 146   24.00      0  63        1         0
#> 176   24.00      0  43        0         1
#> 73.1  24.00      0  NA        0         1
#> 62    24.00      0  71        0         0
#> 172   24.00      0  41        0         0
#> 112   24.00      0  61        0         0
#> 17    24.00      0  38        0         1
#> 95    24.00      0  68        0         1
#> 137   24.00      0  45        1         0
#> 31    24.00      0  36        0         1
#> 137.1 24.00      0  45        1         0
#> 33    24.00      0  53        0         0
#> 53.1  24.00      0  32        0         1
#> 191   24.00      0  60        0         1
#> 12.1  24.00      0  63        0         0
#> 182   24.00      0  35        0         0
#> 19.1  24.00      0  57        0         1
#> 64.1  24.00      0  43        0         0
#> 131   24.00      0  66        0         0
#> 142   24.00      0  53        0         0
#> 138.1 24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 20    24.00      0  46        1         0
#> 118   24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 176.1 24.00      0  43        0         1
#> 75    24.00      0  21        1         0
#> 146.1 24.00      0  63        1         0
#> 53.2  24.00      0  32        0         1
#> 193   24.00      0  45        0         1
#> 98    24.00      0  34        1         0
#> 142.1 24.00      0  53        0         0
#> 87.1  24.00      0  27        0         0
#> 19.2  24.00      0  57        0         1
#> 48    24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 163   24.00      0  66        0         0
#> 144   24.00      0  28        0         1
#> 121   24.00      0  57        1         0
#> 152   24.00      0  36        0         1
#> 34    24.00      0  36        0         0
#> 172.1 24.00      0  41        0         0
#> 121.1 24.00      0  57        1         0
#> 174   24.00      0  49        1         0
#> 95.1  24.00      0  68        0         1
#> 162.1 24.00      0  51        0         0
#> 102   24.00      0  49        0         0
#> 74    24.00      0  43        0         1
#> 46.1  24.00      0  71        0         0
#> 200.1 24.00      0  64        0         0
#> 27    24.00      0  63        1         0
#> 148   24.00      0  61        1         0
#> 35    24.00      0  51        0         0
#> 152.1 24.00      0  36        0         1
#> 3     24.00      0  31        1         0
#> 87.2  24.00      0  27        0         0
#> 64.2  24.00      0  43        0         0
#> 98.1  24.00      0  34        1         0
#> 7     24.00      0  37        1         0
#> 178   24.00      0  52        1         0
#> 35.1  24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 20.1  24.00      0  46        1         0
#> 126   24.00      0  48        0         0
#> 3.1   24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 64.3  24.00      0  43        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.564          NA        NA      NA
#> 2 age, Cure model          0.00781        NA        NA      NA
#> 3 grade_ii, Cure model     0.263          NA        NA      NA
#> 4 grade_iii, Cure model    0.895          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00909        NA        NA      NA
#> 2 grade_ii, Survival model   0.431          NA        NA      NA
#> 3 grade_iii, Survival model  0.238          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.564204          0.007809          0.263149          0.894573  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.7 
#> Residual Deviance: 250.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.564203584      0.007808639      0.263149264      0.894573107 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.009092172      0.431488959      0.238107041 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.964492824 0.002381613 0.379016977 0.060465846 0.310216475 0.430516244
#>   [7] 0.684937657 0.080686804 0.420091007 0.430516244 0.505156337 0.319951138
#>  [13] 0.226769336 0.111722997 0.941051042 0.135848690 0.941051042 0.639668493
#>  [19] 0.263025523 0.483243686 0.119855849 0.176080684 0.684937657 0.358991984
#>  [25] 0.753430406 0.096242597 0.022431161 0.339472367 0.811669606 0.192741710
#>  [31] 0.300570259 0.639668493 0.776567640 0.730588145 0.159539785 0.119855849
#>  [37] 0.430516244 0.730588145 0.339472367 0.135848690 0.662235811 0.002381613
#>  [43] 0.226769336 0.753430406 0.662235811 0.858622490 0.135848690 0.929217643
#>  [49] 0.707714779 0.009781350 0.788233851 0.096242597 0.015775504 0.399366714
#>  [55] 0.606080486 0.560521029 0.516164767 0.905793425 0.823419940 0.368935467
#>  [61] 0.409708254 0.036480190 0.281545324 0.964492824 0.036480190 0.263025523
#>  [67] 0.606080486 0.988090234 0.606080486 0.494188636 0.379016977 0.893951597
#>  [73] 0.472372252 0.192741710 0.430516244 0.192741710 0.244602909 0.022431161
#>  [79] 0.036480190 0.870381242 0.594613067 0.516164767 0.167820558 0.846850856
#>  [85] 0.516164767 0.823419940 0.281545324 0.184370819 0.253764495 0.905793425
#>  [91] 0.319951138 0.060465846 0.571844910 0.583204161 0.060465846 0.036480190
#>  [97] 0.799933774 0.719143903 0.549210878 0.217891539 0.870381242 0.088353791
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>    91    24    23    92   184   100   140    66   188 100.1    29   110    55 
#>  5.33 23.89 16.92 22.92 17.77 16.07 12.68 22.13 16.16 16.07 15.45 17.56 19.34 
#>   197    25    99  25.1   123     8     6   139   128 140.1   111    56   136 
#> 21.60  6.32 21.19  6.32 13.00 18.43 15.64 21.49 20.35 12.68 17.45 12.21 21.83 
#>   164   117    61   166    41 123.1   107    42    32 139.1 100.2  42.1 117.1 
#> 23.60 17.46 10.12 19.98 18.02 13.00 11.18 12.43 20.90 21.49 16.07 12.43 17.46 
#>  99.1    14  24.1    58  56.1  14.1   187  99.2    77   154    78   159 136.1 
#> 21.19 12.89 23.89 19.34 12.21 12.89  9.92 21.19  7.27 12.63 23.88 10.55 21.83 
#>    86   171    60    96   157    70   145    30   181   129    51  91.1 129.1 
#> 23.81 16.57 13.15 14.54 15.10  7.38 10.07 17.43 16.46 23.41 18.23  5.33 23.41 
#>   8.1  60.1   127  60.2    39  23.1   149   125 166.1 100.3 166.2    76 164.1 
#> 18.43 13.15  3.53 13.15 15.59 16.92  8.37 15.65 19.98 16.07 19.98 19.22 23.60 
#> 129.2    16    81 157.1   190   101 157.2 145.1  51.1   158    97  70.1 110.1 
#> 23.41  8.71 14.06 15.10 20.81  9.97 15.10 10.07 18.23 20.14 19.14  7.38 17.56 
#>  92.1    57    13  92.2 129.3    93    37   180   105  16.1   175   143    64 
#> 22.92 14.46 14.34 22.92 23.41 10.33 12.52 14.82 19.75  8.71 21.91 24.00 24.00 
#>   135   185   138    65    46    12    21    38   156    19    53    87   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161 161.1   162 156.1   146   176    62   172   112    17    95   137    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 137.1    33  53.1   191  12.1   182  19.1  64.1   131   142 138.1   132    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118     1 176.1    75 146.1  53.2   193    98 142.1  87.1  19.2    48   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163   144   121   152    34 172.1 121.1   174  95.1 162.1   102    74  46.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 200.1    27   148    35 152.1     3  87.2  64.2  98.1     7   178  35.1   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.1   126   3.1   120  64.3 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[74]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001724396               0.311848082               0.249075255 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.77647817              0.01299926              0.28267146 
#>   grade_iii, Cure model 
#>              1.03953542 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 177   12.53      1  75        0         0
#> 167   15.55      1  56        1         0
#> 15    22.68      1  48        0         0
#> 153   21.33      1  55        1         0
#> 81    14.06      1  34        0         0
#> 43    12.10      1  61        0         1
#> 77     7.27      1  67        0         1
#> 133   14.65      1  57        0         0
#> 199   19.81      1  NA        0         1
#> 153.1 21.33      1  55        1         0
#> 180   14.82      1  37        0         0
#> 10    10.53      1  34        0         0
#> 77.1   7.27      1  67        0         1
#> 155   13.08      1  26        0         0
#> 25     6.32      1  34        1         0
#> 190   20.81      1  42        1         0
#> 171   16.57      1  41        0         1
#> 171.1 16.57      1  41        0         1
#> 157   15.10      1  47        0         0
#> 86    23.81      1  58        0         1
#> 4     17.64      1  NA        0         1
#> 14    12.89      1  21        0         0
#> 42    12.43      1  49        0         1
#> 110   17.56      1  65        0         1
#> 150   20.33      1  48        0         0
#> 49    12.19      1  48        1         0
#> 123   13.00      1  44        1         0
#> 166   19.98      1  48        0         0
#> 136   21.83      1  43        0         1
#> 133.1 14.65      1  57        0         0
#> 91     5.33      1  61        0         1
#> 8     18.43      1  32        0         0
#> 184   17.77      1  38        0         0
#> 170   19.54      1  43        0         1
#> 45    17.42      1  54        0         1
#> 195   11.76      1  NA        1         0
#> 52    10.42      1  52        0         1
#> 26    15.77      1  49        0         1
#> 168   23.72      1  70        0         0
#> 167.1 15.55      1  56        1         0
#> 10.1  10.53      1  34        0         0
#> 15.1  22.68      1  48        0         0
#> 8.1   18.43      1  32        0         0
#> 128   20.35      1  35        0         1
#> 197   21.60      1  69        1         0
#> 133.2 14.65      1  57        0         0
#> 110.1 17.56      1  65        0         1
#> 157.1 15.10      1  47        0         0
#> 195.1 11.76      1  NA        1         0
#> 68    20.62      1  44        0         0
#> 128.1 20.35      1  35        0         1
#> 105   19.75      1  60        0         0
#> 114   13.68      1  NA        0         0
#> 58    19.34      1  39        0         0
#> 24    23.89      1  38        0         0
#> 49.1  12.19      1  48        1         0
#> 136.1 21.83      1  43        0         1
#> 97    19.14      1  65        0         1
#> 97.1  19.14      1  65        0         1
#> 130   16.47      1  53        0         1
#> 81.1  14.06      1  34        0         0
#> 192   16.44      1  31        1         0
#> 10.2  10.53      1  34        0         0
#> 192.1 16.44      1  31        1         0
#> 190.1 20.81      1  42        1         0
#> 63    22.77      1  31        1         0
#> 40    18.00      1  28        1         0
#> 60    13.15      1  38        1         0
#> 99    21.19      1  38        0         1
#> 139   21.49      1  63        1         0
#> 181   16.46      1  45        0         1
#> 70     7.38      1  30        1         0
#> 39    15.59      1  37        0         1
#> 159   10.55      1  50        0         1
#> 153.2 21.33      1  55        1         0
#> 88    18.37      1  47        0         0
#> 14.1  12.89      1  21        0         0
#> 4.1   17.64      1  NA        0         1
#> 108   18.29      1  39        0         1
#> 171.2 16.57      1  41        0         1
#> 79    16.23      1  54        1         0
#> 113   22.86      1  34        0         0
#> 59    10.16      1  NA        1         0
#> 117   17.46      1  26        0         1
#> 100   16.07      1  60        0         0
#> 114.1 13.68      1  NA        0         0
#> 60.1  13.15      1  38        1         0
#> 140   12.68      1  59        1         0
#> 113.1 22.86      1  34        0         0
#> 113.2 22.86      1  34        0         0
#> 61    10.12      1  36        0         1
#> 125   15.65      1  67        1         0
#> 41    18.02      1  40        1         0
#> 92    22.92      1  47        0         1
#> 60.2  13.15      1  38        1         0
#> 13    14.34      1  54        0         1
#> 49.2  12.19      1  48        1         0
#> 70.1   7.38      1  30        1         0
#> 45.1  17.42      1  54        0         1
#> 106   16.67      1  49        1         0
#> 179   18.63      1  42        0         0
#> 5     16.43      1  51        0         1
#> 32    20.90      1  37        1         0
#> 37    12.52      1  57        1         0
#> 114.2 13.68      1  NA        0         0
#> 157.2 15.10      1  47        0         0
#> 190.2 20.81      1  42        1         0
#> 16     8.71      1  71        0         1
#> 5.1   16.43      1  51        0         1
#> 183    9.24      1  67        1         0
#> 100.1 16.07      1  60        0         0
#> 43.1  12.10      1  61        0         1
#> 31    24.00      0  36        0         1
#> 31.1  24.00      0  36        0         1
#> 119   24.00      0  17        0         0
#> 176   24.00      0  43        0         1
#> 121   24.00      0  57        1         0
#> 186   24.00      0  45        1         0
#> 83    24.00      0   6        0         0
#> 109   24.00      0  48        0         0
#> 160   24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 131   24.00      0  66        0         0
#> 12    24.00      0  63        0         0
#> 74    24.00      0  43        0         1
#> 142.1 24.00      0  53        0         0
#> 71    24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 98    24.00      0  34        1         0
#> 142.2 24.00      0  53        0         0
#> 31.2  24.00      0  36        0         1
#> 103   24.00      0  56        1         0
#> 122   24.00      0  66        0         0
#> 73    24.00      0  NA        0         1
#> 165   24.00      0  47        0         0
#> 146   24.00      0  63        1         0
#> 67    24.00      0  25        0         0
#> 142.3 24.00      0  53        0         0
#> 72    24.00      0  40        0         1
#> 119.1 24.00      0  17        0         0
#> 131.1 24.00      0  66        0         0
#> 1     24.00      0  23        1         0
#> 82    24.00      0  34        0         0
#> 185   24.00      0  44        1         0
#> 137   24.00      0  45        1         0
#> 172   24.00      0  41        0         0
#> 165.1 24.00      0  47        0         0
#> 116   24.00      0  58        0         1
#> 148   24.00      0  61        1         0
#> 83.1  24.00      0   6        0         0
#> 131.2 24.00      0  66        0         0
#> 182   24.00      0  35        0         0
#> 156   24.00      0  50        1         0
#> 33    24.00      0  53        0         0
#> 72.1  24.00      0  40        0         1
#> 2     24.00      0   9        0         0
#> 137.1 24.00      0  45        1         0
#> 2.1   24.00      0   9        0         0
#> 174   24.00      0  49        1         0
#> 72.2  24.00      0  40        0         1
#> 122.1 24.00      0  66        0         0
#> 1.1   24.00      0  23        1         0
#> 62    24.00      0  71        0         0
#> 118   24.00      0  44        1         0
#> 9     24.00      0  31        1         0
#> 142.4 24.00      0  53        0         0
#> 98.1  24.00      0  34        1         0
#> 54    24.00      0  53        1         0
#> 12.1  24.00      0  63        0         0
#> 80.1  24.00      0  41        0         0
#> 11    24.00      0  42        0         1
#> 72.3  24.00      0  40        0         1
#> 44    24.00      0  56        0         0
#> 119.2 24.00      0  17        0         0
#> 83.2  24.00      0   6        0         0
#> 104   24.00      0  50        1         0
#> 162   24.00      0  51        0         0
#> 200   24.00      0  64        0         0
#> 19    24.00      0  57        0         1
#> 147   24.00      0  76        1         0
#> 118.1 24.00      0  44        1         0
#> 21    24.00      0  47        0         0
#> 161   24.00      0  45        0         0
#> 152   24.00      0  36        0         1
#> 3     24.00      0  31        1         0
#> 143   24.00      0  51        0         0
#> 144   24.00      0  28        0         1
#> 22    24.00      0  52        1         0
#> 161.1 24.00      0  45        0         0
#> 38    24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 80.2  24.00      0  41        0         0
#> 12.2  24.00      0  63        0         0
#> 98.2  24.00      0  34        1         0
#> 160.1 24.00      0  31        1         0
#> 147.1 24.00      0  76        1         0
#> 65    24.00      0  57        1         0
#> 35    24.00      0  51        0         0
#> 82.1  24.00      0  34        0         0
#> 3.1   24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.776         NA        NA      NA
#> 2 age, Cure model           0.0130        NA        NA      NA
#> 3 grade_ii, Cure model      0.283         NA        NA      NA
#> 4 grade_iii, Cure model     1.04          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00172        NA        NA      NA
#> 2 grade_ii, Survival model   0.312          NA        NA      NA
#> 3 grade_iii, Survival model  0.249          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -0.7765            0.0130            0.2827            1.0395  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 252 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.77647817       0.01299926       0.28267146       1.03953542 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001724396      0.311848082      0.249075255 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.83351104 0.67315389 0.14848432 0.22727495 0.75415269 0.87996734
#>   [7] 0.97051647 0.72189347 0.22727495 0.71372172 0.90282952 0.97051647
#>  [13] 0.79393839 0.98526690 0.28269045 0.54505367 0.54505367 0.68946801
#>  [19] 0.03852376 0.80984360 0.84923054 0.49033393 0.34367144 0.85704312
#>  [25] 0.80190967 0.35385319 0.17591069 0.72189347 0.99264507 0.42326019
#>  [31] 0.48088245 0.37413553 0.51798376 0.92547819 0.64809239 0.05760497
#>  [37] 0.67315389 0.90282952 0.14848432 0.42326019 0.32355898 0.20180723
#>  [43] 0.72189347 0.49033393 0.68946801 0.31310215 0.32355898 0.36400975
#>  [49] 0.38415783 0.01510010 0.85704312 0.17591069 0.39416200 0.39416200
#>  [55] 0.57120214 0.75415269 0.58874560 0.90282952 0.58874560 0.28269045
#>  [61] 0.13383467 0.47141838 0.77025306 0.26027169 0.21473822 0.57999949
#>  [67] 0.95566676 0.66484460 0.89520431 0.22727495 0.44251520 0.80984360
#>  [73] 0.45223174 0.54505367 0.62283241 0.09277056 0.50874899 0.63130657
#>  [79] 0.77025306 0.82562239 0.09277056 0.09277056 0.93306502 0.65649699
#>  [85] 0.46187123 0.07596908 0.77025306 0.74604857 0.85704312 0.95566676
#>  [91] 0.51798376 0.53602855 0.41349521 0.60588504 0.27158649 0.84138941
#>  [97] 0.68946801 0.28269045 0.94816149 0.60588504 0.94062941 0.63130657
#> [103] 0.87996734 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   177   167    15   153    81    43    77   133 153.1   180    10  77.1   155 
#> 12.53 15.55 22.68 21.33 14.06 12.10  7.27 14.65 21.33 14.82 10.53  7.27 13.08 
#>    25   190   171 171.1   157    86    14    42   110   150    49   123   166 
#>  6.32 20.81 16.57 16.57 15.10 23.81 12.89 12.43 17.56 20.33 12.19 13.00 19.98 
#>   136 133.1    91     8   184   170    45    52    26   168 167.1  10.1  15.1 
#> 21.83 14.65  5.33 18.43 17.77 19.54 17.42 10.42 15.77 23.72 15.55 10.53 22.68 
#>   8.1   128   197 133.2 110.1 157.1    68 128.1   105    58    24  49.1 136.1 
#> 18.43 20.35 21.60 14.65 17.56 15.10 20.62 20.35 19.75 19.34 23.89 12.19 21.83 
#>    97  97.1   130  81.1   192  10.2 192.1 190.1    63    40    60    99   139 
#> 19.14 19.14 16.47 14.06 16.44 10.53 16.44 20.81 22.77 18.00 13.15 21.19 21.49 
#>   181    70    39   159 153.2    88  14.1   108 171.2    79   113   117   100 
#> 16.46  7.38 15.59 10.55 21.33 18.37 12.89 18.29 16.57 16.23 22.86 17.46 16.07 
#>  60.1   140 113.1 113.2    61   125    41    92  60.2    13  49.2  70.1  45.1 
#> 13.15 12.68 22.86 22.86 10.12 15.65 18.02 22.92 13.15 14.34 12.19  7.38 17.42 
#>   106   179     5    32    37 157.2 190.2    16   5.1   183 100.1  43.1    31 
#> 16.67 18.63 16.43 20.90 12.52 15.10 20.81  8.71 16.43  9.24 16.07 12.10 24.00 
#>  31.1   119   176   121   186    83   109   160   142   131    12    74 142.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71    80    98 142.2  31.2   103   122   165   146    67 142.3    72 119.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.1     1    82   185   137   172 165.1   116   148  83.1 131.2   182   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33  72.1     2 137.1   2.1   174  72.2 122.1   1.1    62   118     9 142.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.1    54  12.1  80.1    11  72.3    44 119.2  83.2   104   162   200    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147 118.1    21   161   152     3   143   144    22 161.1    38    53  80.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  12.2  98.2 160.1 147.1    65    35  82.1   3.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[75]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.008986111               0.828594615               0.273736770 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.91402077              0.02165257             -0.21667885 
#>   grade_iii, Cure model 
#>              0.63121518 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 85    16.44      1  36        0         0
#> 145   10.07      1  65        1         0
#> 190   20.81      1  42        1         0
#> 69    23.23      1  25        0         1
#> 127    3.53      1  62        0         1
#> 93    10.33      1  52        0         1
#> 81    14.06      1  34        0         0
#> 10    10.53      1  34        0         0
#> 23    16.92      1  61        0         0
#> 32    20.90      1  37        1         0
#> 110   17.56      1  65        0         1
#> 81.1  14.06      1  34        0         0
#> 97    19.14      1  65        0         1
#> 16     8.71      1  71        0         1
#> 149    8.37      1  33        1         0
#> 86    23.81      1  58        0         1
#> 101    9.97      1  10        0         1
#> 16.1   8.71      1  71        0         1
#> 6     15.64      1  39        0         0
#> 159   10.55      1  50        0         1
#> 110.1 17.56      1  65        0         1
#> 52    10.42      1  52        0         1
#> 89    11.44      1  NA        0         0
#> 166   19.98      1  48        0         0
#> 107   11.18      1  54        1         0
#> 76    19.22      1  54        0         1
#> 78    23.88      1  43        0         0
#> 177   12.53      1  75        0         0
#> 188   16.16      1  46        0         1
#> 15    22.68      1  48        0         0
#> 184   17.77      1  38        0         0
#> 43    12.10      1  61        0         1
#> 194   22.40      1  38        0         1
#> 167   15.55      1  56        1         0
#> 76.1  19.22      1  54        0         1
#> 175   21.91      1  43        0         0
#> 79    16.23      1  54        1         0
#> 32.1  20.90      1  37        1         0
#> 113   22.86      1  34        0         0
#> 76.2  19.22      1  54        0         1
#> 130   16.47      1  53        0         1
#> 15.1  22.68      1  48        0         0
#> 92    22.92      1  47        0         1
#> 106   16.67      1  49        1         0
#> 183    9.24      1  67        1         0
#> 157   15.10      1  47        0         0
#> 91     5.33      1  61        0         1
#> 123   13.00      1  44        1         0
#> 123.1 13.00      1  44        1         0
#> 77     7.27      1  67        0         1
#> 195   11.76      1  NA        1         0
#> 149.1  8.37      1  33        1         0
#> 188.1 16.16      1  46        0         1
#> 78.1  23.88      1  43        0         0
#> 25     6.32      1  34        1         0
#> 111   17.45      1  47        0         1
#> 25.1   6.32      1  34        1         0
#> 180   14.82      1  37        0         0
#> 32.2  20.90      1  37        1         0
#> 30    17.43      1  78        0         0
#> 96    14.54      1  33        0         1
#> 150   20.33      1  48        0         0
#> 81.2  14.06      1  34        0         0
#> 158   20.14      1  74        1         0
#> 52.1  10.42      1  52        0         1
#> 92.1  22.92      1  47        0         1
#> 49    12.19      1  48        1         0
#> 168   23.72      1  70        0         0
#> 149.2  8.37      1  33        1         0
#> 105   19.75      1  60        0         0
#> 32.3  20.90      1  37        1         0
#> 180.1 14.82      1  37        0         0
#> 92.2  22.92      1  47        0         1
#> 86.1  23.81      1  58        0         1
#> 192   16.44      1  31        1         0
#> 91.1   5.33      1  61        0         1
#> 181   16.46      1  45        0         1
#> 107.1 11.18      1  54        1         0
#> 170   19.54      1  43        0         1
#> 180.2 14.82      1  37        0         0
#> 4     17.64      1  NA        0         1
#> 16.2   8.71      1  71        0         1
#> 45    17.42      1  54        0         1
#> 149.3  8.37      1  33        1         0
#> 5     16.43      1  51        0         1
#> 43.1  12.10      1  61        0         1
#> 124    9.73      1  NA        1         0
#> 114   13.68      1  NA        0         0
#> 99    21.19      1  38        0         1
#> 66    22.13      1  53        0         0
#> 18    15.21      1  49        1         0
#> 190.1 20.81      1  42        1         0
#> 133   14.65      1  57        0         0
#> 81.3  14.06      1  34        0         0
#> 60    13.15      1  38        1         0
#> 150.1 20.33      1  48        0         0
#> 184.1 17.77      1  38        0         0
#> 4.1   17.64      1  NA        0         1
#> 55    19.34      1  69        0         1
#> 133.1 14.65      1  57        0         0
#> 36    21.19      1  48        0         1
#> 37    12.52      1  57        1         0
#> 43.2  12.10      1  61        0         1
#> 175.1 21.91      1  43        0         0
#> 26    15.77      1  49        0         1
#> 29    15.45      1  68        1         0
#> 57    14.46      1  45        0         1
#> 149.4  8.37      1  33        1         0
#> 192.1 16.44      1  31        1         0
#> 188.2 16.16      1  46        0         1
#> 99.1  21.19      1  38        0         1
#> 181.1 16.46      1  45        0         1
#> 144   24.00      0  28        0         1
#> 38    24.00      0  31        1         0
#> 17    24.00      0  38        0         1
#> 21    24.00      0  47        0         0
#> 135   24.00      0  58        1         0
#> 119   24.00      0  17        0         0
#> 126   24.00      0  48        0         0
#> 67    24.00      0  25        0         0
#> 186   24.00      0  45        1         0
#> 156   24.00      0  50        1         0
#> 95    24.00      0  68        0         1
#> 34    24.00      0  36        0         0
#> 191   24.00      0  60        0         1
#> 165   24.00      0  47        0         0
#> 94    24.00      0  51        0         1
#> 95.1  24.00      0  68        0         1
#> 165.1 24.00      0  47        0         0
#> 182   24.00      0  35        0         0
#> 38.1  24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 65    24.00      0  57        1         0
#> 176   24.00      0  43        0         1
#> 148   24.00      0  61        1         0
#> 12    24.00      0  63        0         0
#> 102   24.00      0  49        0         0
#> 109   24.00      0  48        0         0
#> 104   24.00      0  50        1         0
#> 196   24.00      0  19        0         0
#> 54    24.00      0  53        1         0
#> 115   24.00      0  NA        1         0
#> 144.1 24.00      0  28        0         1
#> 138   24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 147   24.00      0  76        1         0
#> 20    24.00      0  46        1         0
#> 182.1 24.00      0  35        0         0
#> 9     24.00      0  31        1         0
#> 83    24.00      0   6        0         0
#> 148.1 24.00      0  61        1         0
#> 173   24.00      0  19        0         1
#> 104.1 24.00      0  50        1         0
#> 185   24.00      0  44        1         0
#> 115.1 24.00      0  NA        1         0
#> 94.1  24.00      0  51        0         1
#> 121   24.00      0  57        1         0
#> 165.2 24.00      0  47        0         0
#> 20.1  24.00      0  46        1         0
#> 193   24.00      0  45        0         1
#> 115.2 24.00      0  NA        1         0
#> 161   24.00      0  45        0         0
#> 82.1  24.00      0  34        0         0
#> 165.3 24.00      0  47        0         0
#> 146   24.00      0  63        1         0
#> 116   24.00      0  58        0         1
#> 47    24.00      0  38        0         1
#> 152   24.00      0  36        0         1
#> 132   24.00      0  55        0         0
#> 156.1 24.00      0  50        1         0
#> 84.1  24.00      0  39        0         1
#> 38.2  24.00      0  31        1         0
#> 147.1 24.00      0  76        1         0
#> 9.1   24.00      0  31        1         0
#> 48    24.00      0  31        1         0
#> 119.1 24.00      0  17        0         0
#> 72    24.00      0  40        0         1
#> 27    24.00      0  63        1         0
#> 132.1 24.00      0  55        0         0
#> 3     24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 122   24.00      0  66        0         0
#> 38.3  24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 165.4 24.00      0  47        0         0
#> 173.1 24.00      0  19        0         1
#> 118.1 24.00      0  44        1         0
#> 178   24.00      0  52        1         0
#> 143   24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 176.1 24.00      0  43        0         1
#> 109.1 24.00      0  48        0         0
#> 103   24.00      0  56        1         0
#> 137   24.00      0  45        1         0
#> 176.2 24.00      0  43        0         1
#> 17.1  24.00      0  38        0         1
#> 83.1  24.00      0   6        0         0
#> 131   24.00      0  66        0         0
#> 118.2 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.914         NA        NA      NA
#> 2 age, Cure model           0.0217        NA        NA      NA
#> 3 grade_ii, Cure model     -0.217         NA        NA      NA
#> 4 grade_iii, Cure model     0.631         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00899        NA        NA      NA
#> 2 grade_ii, Survival model   0.829          NA        NA      NA
#> 3 grade_iii, Survival model  0.274          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.91402           0.02165          -0.21668           0.63122  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.5 
#> Residual Deviance: 251.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.91402077       0.02165257      -0.21667885       0.63121518 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.008986111      0.828594615      0.273736770 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.7012481 0.9274278 0.4996785 0.2362170 0.9959383 0.9227472 0.8265751
#>   [8] 0.9085966 0.6663083 0.4582778 0.6289953 0.8265751 0.6054735 0.9411623
#>  [15] 0.9543971 0.1616311 0.9320362 0.9411623 0.7581352 0.9038268 0.6289953
#>  [22] 0.9133574 0.5467551 0.8942589 0.5815770 0.0819263 0.8641317 0.7336009
#>  [29] 0.3265814 0.6134026 0.8795177 0.3586574 0.7642466 0.5815770 0.3898594
#>  [36] 0.7272563 0.4582778 0.3091854 0.5815770 0.6806335 0.3265814 0.2589271
#>  [43] 0.6735683 0.9366346 0.7817797 0.9877884 0.8536799 0.8536799 0.9753503
#>  [50] 0.9543971 0.7336009 0.0819263 0.9795519 0.6440802 0.9795519 0.7874803
#>  [57] 0.4582778 0.6515785 0.8154736 0.5189210 0.8265751 0.5377863 0.9133574
#>  [64] 0.2589271 0.8744678 0.2120063 0.9543971 0.5556453 0.4582778 0.7874803
#>  [71] 0.2589271 0.1616311 0.7012481 0.9877884 0.6876178 0.8942589 0.5644350
#>  [78] 0.7874803 0.9411623 0.6589902 0.9543971 0.7207575 0.8795177 0.4189938
#>  [85] 0.3744566 0.7760572 0.4996785 0.8043152 0.8265751 0.8482787 0.5189210
#>  [92] 0.6134026 0.5730986 0.8043152 0.4189938 0.8693431 0.8795177 0.3898594
#>  [99] 0.7520030 0.7702248 0.8210425 0.9543971 0.7012481 0.7336009 0.4189938
#> [106] 0.6876178 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [190] 0.0000000 0.0000000
#> 
#> $Time
#>    85   145   190    69   127    93    81    10    23    32   110  81.1    97 
#> 16.44 10.07 20.81 23.23  3.53 10.33 14.06 10.53 16.92 20.90 17.56 14.06 19.14 
#>    16   149    86   101  16.1     6   159 110.1    52   166   107    76    78 
#>  8.71  8.37 23.81  9.97  8.71 15.64 10.55 17.56 10.42 19.98 11.18 19.22 23.88 
#>   177   188    15   184    43   194   167  76.1   175    79  32.1   113  76.2 
#> 12.53 16.16 22.68 17.77 12.10 22.40 15.55 19.22 21.91 16.23 20.90 22.86 19.22 
#>   130  15.1    92   106   183   157    91   123 123.1    77 149.1 188.1  78.1 
#> 16.47 22.68 22.92 16.67  9.24 15.10  5.33 13.00 13.00  7.27  8.37 16.16 23.88 
#>    25   111  25.1   180  32.2    30    96   150  81.2   158  52.1  92.1    49 
#>  6.32 17.45  6.32 14.82 20.90 17.43 14.54 20.33 14.06 20.14 10.42 22.92 12.19 
#>   168 149.2   105  32.3 180.1  92.2  86.1   192  91.1   181 107.1   170 180.2 
#> 23.72  8.37 19.75 20.90 14.82 22.92 23.81 16.44  5.33 16.46 11.18 19.54 14.82 
#>  16.2    45 149.3     5  43.1    99    66    18 190.1   133  81.3    60 150.1 
#>  8.71 17.42  8.37 16.43 12.10 21.19 22.13 15.21 20.81 14.65 14.06 13.15 20.33 
#> 184.1    55 133.1    36    37  43.2 175.1    26    29    57 149.4 192.1 188.2 
#> 17.77 19.34 14.65 21.19 12.52 12.10 21.91 15.77 15.45 14.46  8.37 16.44 16.16 
#>  99.1 181.1   144    38    17    21   135   119   126    67   186   156    95 
#> 21.19 16.46 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34   191   165    94  95.1 165.1   182  38.1    82    65   176   148    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102   109   104   196    54 144.1   138    84   147    20 182.1     9    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.1   173 104.1   185  94.1   121 165.2  20.1   193   161  82.1 165.3   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116    47   152   132 156.1  84.1  38.2 147.1   9.1    48 119.1    72    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.1     3   118    71   122  38.3     7 165.4 173.1 118.1   178   143    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 176.1 109.1   103   137 176.2  17.1  83.1   131 118.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[76]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01427937                0.74069877                0.43090768 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.278694676             0.004287655             0.073015720 
#>   grade_iii, Cure model 
#>             0.846811284 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 124    9.73      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 32    20.90      1  37        1         0
#> 52    10.42      1  52        0         1
#> 167   15.55      1  56        1         0
#> 134   17.81      1  47        1         0
#> 129   23.41      1  53        1         0
#> 111   17.45      1  47        0         1
#> 86    23.81      1  58        0         1
#> 183    9.24      1  67        1         0
#> 158   20.14      1  74        1         0
#> 66    22.13      1  53        0         0
#> 37    12.52      1  57        1         0
#> 158.1 20.14      1  74        1         0
#> 24    23.89      1  38        0         0
#> 108   18.29      1  39        0         1
#> 101    9.97      1  10        0         1
#> 153   21.33      1  55        1         0
#> 105   19.75      1  60        0         0
#> 37.1  12.52      1  57        1         0
#> 78    23.88      1  43        0         0
#> 136.1 21.83      1  43        0         1
#> 170   19.54      1  43        0         1
#> 30    17.43      1  78        0         0
#> 154   12.63      1  20        1         0
#> 171   16.57      1  41        0         1
#> 30.1  17.43      1  78        0         0
#> 150   20.33      1  48        0         0
#> 85    16.44      1  36        0         0
#> 158.2 20.14      1  74        1         0
#> 105.1 19.75      1  60        0         0
#> 155   13.08      1  26        0         0
#> 149    8.37      1  33        1         0
#> 110   17.56      1  65        0         1
#> 5     16.43      1  51        0         1
#> 25     6.32      1  34        1         0
#> 171.1 16.57      1  41        0         1
#> 175   21.91      1  43        0         0
#> 170.1 19.54      1  43        0         1
#> 39    15.59      1  37        0         1
#> 150.1 20.33      1  48        0         0
#> 57    14.46      1  45        0         1
#> 169   22.41      1  46        0         0
#> 100   16.07      1  60        0         0
#> 169.1 22.41      1  46        0         0
#> 14    12.89      1  21        0         0
#> 41    18.02      1  40        1         0
#> 155.1 13.08      1  26        0         0
#> 105.2 19.75      1  60        0         0
#> 133   14.65      1  57        0         0
#> 110.1 17.56      1  65        0         1
#> 56    12.21      1  60        0         0
#> 4     17.64      1  NA        0         1
#> 113   22.86      1  34        0         0
#> 145   10.07      1  65        1         0
#> 110.2 17.56      1  65        0         1
#> 127    3.53      1  62        0         1
#> 181   16.46      1  45        0         1
#> 4.1   17.64      1  NA        0         1
#> 153.1 21.33      1  55        1         0
#> 79    16.23      1  54        1         0
#> 61    10.12      1  36        0         1
#> 90    20.94      1  50        0         1
#> 171.2 16.57      1  41        0         1
#> 57.1  14.46      1  45        0         1
#> 36    21.19      1  48        0         1
#> 188   16.16      1  46        0         1
#> 124.1  9.73      1  NA        1         0
#> 79.1  16.23      1  54        1         0
#> 168   23.72      1  70        0         0
#> 107   11.18      1  54        1         0
#> 194   22.40      1  38        0         1
#> 6     15.64      1  39        0         0
#> 187    9.92      1  39        1         0
#> 111.1 17.45      1  47        0         1
#> 197   21.60      1  69        1         0
#> 155.2 13.08      1  26        0         0
#> 167.1 15.55      1  56        1         0
#> 105.3 19.75      1  60        0         0
#> 4.2   17.64      1  NA        0         1
#> 177   12.53      1  75        0         0
#> 189   10.51      1  NA        1         0
#> 158.3 20.14      1  74        1         0
#> 157   15.10      1  47        0         0
#> 43    12.10      1  61        0         1
#> 25.1   6.32      1  34        1         0
#> 51    18.23      1  83        0         1
#> 93    10.33      1  52        0         1
#> 60    13.15      1  38        1         0
#> 45    17.42      1  54        0         1
#> 192   16.44      1  31        1         0
#> 170.2 19.54      1  43        0         1
#> 45.1  17.42      1  54        0         1
#> 179   18.63      1  42        0         0
#> 166   19.98      1  48        0         0
#> 107.1 11.18      1  54        1         0
#> 184   17.77      1  38        0         0
#> 8     18.43      1  32        0         0
#> 26    15.77      1  49        0         1
#> 5.1   16.43      1  51        0         1
#> 79.2  16.23      1  54        1         0
#> 59    10.16      1  NA        1         0
#> 97    19.14      1  65        0         1
#> 140   12.68      1  59        1         0
#> 49    12.19      1  48        1         0
#> 149.1  8.37      1  33        1         0
#> 56.1  12.21      1  60        0         0
#> 164   23.60      1  76        0         1
#> 32.1  20.90      1  37        1         0
#> 133.1 14.65      1  57        0         0
#> 66.1  22.13      1  53        0         0
#> 50    10.02      1  NA        1         0
#> 75    24.00      0  21        1         0
#> 198   24.00      0  66        0         1
#> 160   24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 44    24.00      0  56        0         0
#> 172   24.00      0  41        0         0
#> 135   24.00      0  58        1         0
#> 11    24.00      0  42        0         1
#> 3     24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 165   24.00      0  47        0         0
#> 109   24.00      0  48        0         0
#> 143   24.00      0  51        0         0
#> 200   24.00      0  64        0         0
#> 132   24.00      0  55        0         0
#> 126   24.00      0  48        0         0
#> 163   24.00      0  66        0         0
#> 19    24.00      0  57        0         1
#> 98    24.00      0  34        1         0
#> 172.1 24.00      0  41        0         0
#> 33    24.00      0  53        0         0
#> 38    24.00      0  31        1         0
#> 75.1  24.00      0  21        1         0
#> 46    24.00      0  71        0         0
#> 151   24.00      0  42        0         0
#> 87    24.00      0  27        0         0
#> 46.1  24.00      0  71        0         0
#> 103   24.00      0  56        1         0
#> 161   24.00      0  45        0         0
#> 172.2 24.00      0  41        0         0
#> 46.2  24.00      0  71        0         0
#> 109.1 24.00      0  48        0         0
#> 147   24.00      0  76        1         0
#> 115   24.00      0  NA        1         0
#> 126.1 24.00      0  48        0         0
#> 165.1 24.00      0  47        0         0
#> 191   24.00      0  60        0         1
#> 1     24.00      0  23        1         0
#> 47    24.00      0  38        0         1
#> 137   24.00      0  45        1         0
#> 102   24.00      0  49        0         0
#> 82    24.00      0  34        0         0
#> 118   24.00      0  44        1         0
#> 19.1  24.00      0  57        0         1
#> 21    24.00      0  47        0         0
#> 44.1  24.00      0  56        0         0
#> 75.2  24.00      0  21        1         0
#> 72    24.00      0  40        0         1
#> 74    24.00      0  43        0         1
#> 146   24.00      0  63        1         0
#> 17    24.00      0  38        0         1
#> 20    24.00      0  46        1         0
#> 146.1 24.00      0  63        1         0
#> 186   24.00      0  45        1         0
#> 3.1   24.00      0  31        1         0
#> 109.2 24.00      0  48        0         0
#> 121   24.00      0  57        1         0
#> 132.1 24.00      0  55        0         0
#> 74.1  24.00      0  43        0         1
#> 62    24.00      0  71        0         0
#> 12    24.00      0  63        0         0
#> 62.1  24.00      0  71        0         0
#> 137.1 24.00      0  45        1         0
#> 48    24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 131   24.00      0  66        0         0
#> 47.1  24.00      0  38        0         1
#> 146.2 24.00      0  63        1         0
#> 9     24.00      0  31        1         0
#> 17.1  24.00      0  38        0         1
#> 141.1 24.00      0  44        1         0
#> 103.1 24.00      0  56        1         0
#> 121.1 24.00      0  57        1         0
#> 148   24.00      0  61        1         0
#> 122   24.00      0  66        0         0
#> 84    24.00      0  39        0         1
#> 156   24.00      0  50        1         0
#> 156.1 24.00      0  50        1         0
#> 163.1 24.00      0  66        0         0
#> 120   24.00      0  68        0         1
#> 65    24.00      0  57        1         0
#> 62.2  24.00      0  71        0         0
#> 118.1 24.00      0  44        1         0
#> 198.1 24.00      0  66        0         1
#> 72.1  24.00      0  40        0         1
#> 84.1  24.00      0  39        0         1
#> 104   24.00      0  50        1         0
#> 143.1 24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.279          NA        NA      NA
#> 2 age, Cure model          0.00429        NA        NA      NA
#> 3 grade_ii, Cure model     0.0730         NA        NA      NA
#> 4 grade_iii, Cure model    0.847          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0143        NA        NA      NA
#> 2 grade_ii, Survival model    0.741         NA        NA      NA
#> 3 grade_iii, Survival model   0.431         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.278695          0.004288          0.073016          0.846811  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 255.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.278694676      0.004287655      0.073015720      0.846811284 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01427937       0.74069877       0.43090768 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.0550521929 0.1033492942 0.8498970843 0.5732016557 0.2853762570
#>   [6] 0.0128757340 0.3342942149 0.0031991406 0.9255074529 0.1316165110
#>  [11] 0.0365477422 0.7511674929 0.1316165110 0.0002349067 0.2564234802
#>  [16] 0.9003492939 0.0752348577 0.1688340240 0.7511674929 0.0013125015
#>  [21] 0.0550521929 0.2021975810 0.3545132041 0.7269017558 0.3969074495
#>  [26] 0.3545132041 0.1170594557 0.4398845018 0.1316165110 0.1688340240
#>  [31] 0.6668477550 0.9381022611 0.3048043832 0.4616230589 0.9629181259
#>  [36] 0.3969074495 0.0483412787 0.2021975810 0.5616977375 0.1170594557
#>  [41] 0.6312131035 0.0213625531 0.5275107136 0.0213625531 0.7025538906
#>  [46] 0.2757056523 0.6668477550 0.1688340240 0.6076666009 0.3048043832
#>  [51] 0.7754213093 0.0169131602 0.8876936106 0.3048043832 0.9875494902
#>  [56] 0.4288926745 0.0752348577 0.4836282953 0.8750686972 0.0960135705
#>  [61] 0.3969074495 0.6312131035 0.0888136576 0.5163246250 0.4836282953
#>  [66] 0.0055852506 0.8250578633 0.0311143127 0.5502156574 0.9129458581
#>  [71] 0.3342942149 0.0681699979 0.6668477550 0.5732016557 0.1688340240
#>  [76] 0.7389691549 0.1316165110 0.5960306528 0.8125547231 0.9629181259
#>  [81] 0.2659720160 0.8624583025 0.6549284518 0.3755377209 0.4398845018
#>  [86] 0.2021975810 0.3755377209 0.2375426952 0.1607895517 0.8250578633
#>  [91] 0.2950233426 0.2469168848 0.5388349962 0.4616230589 0.4836282953
#>  [96] 0.2283324689 0.7147177872 0.8001197130 0.9381022611 0.7754213093
#> [101] 0.0088688056 0.1033492942 0.6076666009 0.0365477422 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>   136    32    52   167   134   129   111    86   183   158    66    37 158.1 
#> 21.83 20.90 10.42 15.55 17.81 23.41 17.45 23.81  9.24 20.14 22.13 12.52 20.14 
#>    24   108   101   153   105  37.1    78 136.1   170    30   154   171  30.1 
#> 23.89 18.29  9.97 21.33 19.75 12.52 23.88 21.83 19.54 17.43 12.63 16.57 17.43 
#>   150    85 158.2 105.1   155   149   110     5    25 171.1   175 170.1    39 
#> 20.33 16.44 20.14 19.75 13.08  8.37 17.56 16.43  6.32 16.57 21.91 19.54 15.59 
#> 150.1    57   169   100 169.1    14    41 155.1 105.2   133 110.1    56   113 
#> 20.33 14.46 22.41 16.07 22.41 12.89 18.02 13.08 19.75 14.65 17.56 12.21 22.86 
#>   145 110.2   127   181 153.1    79    61    90 171.2  57.1    36   188  79.1 
#> 10.07 17.56  3.53 16.46 21.33 16.23 10.12 20.94 16.57 14.46 21.19 16.16 16.23 
#>   168   107   194     6   187 111.1   197 155.2 167.1 105.3   177 158.3   157 
#> 23.72 11.18 22.40 15.64  9.92 17.45 21.60 13.08 15.55 19.75 12.53 20.14 15.10 
#>    43  25.1    51    93    60    45   192 170.2  45.1   179   166 107.1   184 
#> 12.10  6.32 18.23 10.33 13.15 17.42 16.44 19.54 17.42 18.63 19.98 11.18 17.77 
#>     8    26   5.1  79.2    97   140    49 149.1  56.1   164  32.1 133.1  66.1 
#> 18.43 15.77 16.43 16.23 19.14 12.68 12.19  8.37 12.21 23.60 20.90 14.65 22.13 
#>    75   198   160   141    44   172   135    11     3   165   109   143   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   132   126   163    19    98 172.1    33    38  75.1    46   151    87  46.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103   161 172.2  46.2 109.1   147 126.1 165.1   191     1    47   137   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    82   118  19.1    21  44.1  75.2    72    74   146    17    20 146.1   186 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.1 109.2   121 132.1  74.1    62    12  62.1 137.1    48   142   131  47.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 146.2     9  17.1 141.1 103.1 121.1   148   122    84   156 156.1 163.1   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    65  62.2 118.1 198.1  72.1  84.1   104 143.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[77]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001319729               0.298182360               0.360598550 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.74423482              0.01650688             -0.43930622 
#>   grade_iii, Cure model 
#>              1.58094391 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 36    21.19      1  48        0         1
#> 66    22.13      1  53        0         0
#> 139   21.49      1  63        1         0
#> 45    17.42      1  54        0         1
#> 40    18.00      1  28        1         0
#> 93    10.33      1  52        0         1
#> 79    16.23      1  54        1         0
#> 167   15.55      1  56        1         0
#> 184   17.77      1  38        0         0
#> 153   21.33      1  55        1         0
#> 177   12.53      1  75        0         0
#> 81    14.06      1  34        0         0
#> 117   17.46      1  26        0         1
#> 154   12.63      1  20        1         0
#> 164   23.60      1  76        0         1
#> 129   23.41      1  53        1         0
#> 30    17.43      1  78        0         0
#> 123   13.00      1  44        1         0
#> 150   20.33      1  48        0         0
#> 197   21.60      1  69        1         0
#> 197.1 21.60      1  69        1         0
#> 76    19.22      1  54        0         1
#> 155   13.08      1  26        0         0
#> 32    20.90      1  37        1         0
#> 24    23.89      1  38        0         0
#> 92    22.92      1  47        0         1
#> 113   22.86      1  34        0         0
#> 157   15.10      1  47        0         0
#> 14    12.89      1  21        0         0
#> 91     5.33      1  61        0         1
#> 180   14.82      1  37        0         0
#> 139.1 21.49      1  63        1         0
#> 157.1 15.10      1  47        0         0
#> 192   16.44      1  31        1         0
#> 26    15.77      1  49        0         1
#> 194   22.40      1  38        0         1
#> 26.1  15.77      1  49        0         1
#> 91.1   5.33      1  61        0         1
#> 45.1  17.42      1  54        0         1
#> 140   12.68      1  59        1         0
#> 105   19.75      1  60        0         0
#> 90    20.94      1  50        0         1
#> 45.2  17.42      1  54        0         1
#> 6     15.64      1  39        0         0
#> 110   17.56      1  65        0         1
#> 78    23.88      1  43        0         0
#> 111   17.45      1  47        0         1
#> 23    16.92      1  61        0         0
#> 136   21.83      1  43        0         1
#> 56    12.21      1  60        0         0
#> 117.1 17.46      1  26        0         1
#> 69    23.23      1  25        0         1
#> 177.1 12.53      1  75        0         0
#> 78.1  23.88      1  43        0         0
#> 145   10.07      1  65        1         0
#> 86    23.81      1  58        0         1
#> 188   16.16      1  46        0         1
#> 43    12.10      1  61        0         1
#> 13    14.34      1  54        0         1
#> 39    15.59      1  37        0         1
#> 107   11.18      1  54        1         0
#> 79.1  16.23      1  54        1         0
#> 14.1  12.89      1  21        0         0
#> 179   18.63      1  42        0         0
#> 197.2 21.60      1  69        1         0
#> 13.1  14.34      1  54        0         1
#> 89    11.44      1  NA        0         0
#> 183    9.24      1  67        1         0
#> 58    19.34      1  39        0         0
#> 50    10.02      1  NA        1         0
#> 66.1  22.13      1  53        0         0
#> 113.1 22.86      1  34        0         0
#> 139.2 21.49      1  63        1         0
#> 169   22.41      1  46        0         0
#> 61    10.12      1  36        0         1
#> 188.1 16.16      1  46        0         1
#> 88    18.37      1  47        0         0
#> 15    22.68      1  48        0         0
#> 125   15.65      1  67        1         0
#> 123.1 13.00      1  44        1         0
#> 125.1 15.65      1  67        1         0
#> 175   21.91      1  43        0         0
#> 23.1  16.92      1  61        0         0
#> 117.2 17.46      1  26        0         1
#> 26.2  15.77      1  49        0         1
#> 13.2  14.34      1  54        0         1
#> 97    19.14      1  65        0         1
#> 36.1  21.19      1  48        0         1
#> 91.2   5.33      1  61        0         1
#> 5     16.43      1  51        0         1
#> 101    9.97      1  10        0         1
#> 42    12.43      1  49        0         1
#> 99    21.19      1  38        0         1
#> 101.1  9.97      1  10        0         1
#> 199   19.81      1  NA        0         1
#> 108   18.29      1  39        0         1
#> 159   10.55      1  50        0         1
#> 36.2  21.19      1  48        0         1
#> 114   13.68      1  NA        0         0
#> 113.2 22.86      1  34        0         0
#> 6.1   15.64      1  39        0         0
#> 51    18.23      1  83        0         1
#> 197.3 21.60      1  69        1         0
#> 59    10.16      1  NA        1         0
#> 77     7.27      1  67        0         1
#> 69.1  23.23      1  25        0         1
#> 60    13.15      1  38        1         0
#> 23.2  16.92      1  61        0         0
#> 88.1  18.37      1  47        0         0
#> 129.1 23.41      1  53        1         0
#> 23.3  16.92      1  61        0         0
#> 125.2 15.65      1  67        1         0
#> 33    24.00      0  53        0         0
#> 143   24.00      0  51        0         0
#> 176   24.00      0  43        0         1
#> 27    24.00      0  63        1         0
#> 160   24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 73    24.00      0  NA        0         1
#> 141   24.00      0  44        1         0
#> 161   24.00      0  45        0         0
#> 67    24.00      0  25        0         0
#> 98    24.00      0  34        1         0
#> 176.1 24.00      0  43        0         1
#> 185   24.00      0  44        1         0
#> 94    24.00      0  51        0         1
#> 186   24.00      0  45        1         0
#> 87    24.00      0  27        0         0
#> 135.1 24.00      0  58        1         0
#> 112   24.00      0  61        0         0
#> 46    24.00      0  71        0         0
#> 186.1 24.00      0  45        1         0
#> 2     24.00      0   9        0         0
#> 162   24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 73.1  24.00      0  NA        0         1
#> 3     24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 196   24.00      0  19        0         0
#> 27.1  24.00      0  63        1         0
#> 38    24.00      0  31        1         0
#> 160.1 24.00      0  31        1         0
#> 163   24.00      0  66        0         0
#> 46.1  24.00      0  71        0         0
#> 178   24.00      0  52        1         0
#> 141.1 24.00      0  44        1         0
#> 47    24.00      0  38        0         1
#> 28    24.00      0  67        1         0
#> 102   24.00      0  49        0         0
#> 121   24.00      0  57        1         0
#> 185.1 24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 118   24.00      0  44        1         0
#> 83    24.00      0   6        0         0
#> 48    24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 115   24.00      0  NA        1         0
#> 143.1 24.00      0  51        0         0
#> 46.2  24.00      0  71        0         0
#> 132   24.00      0  55        0         0
#> 147   24.00      0  76        1         0
#> 115.1 24.00      0  NA        1         0
#> 71    24.00      0  51        0         0
#> 82.1  24.00      0  34        0         0
#> 44    24.00      0  56        0         0
#> 83.1  24.00      0   6        0         0
#> 185.2 24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 7     24.00      0  37        1         0
#> 185.3 24.00      0  44        1         0
#> 160.2 24.00      0  31        1         0
#> 7.1   24.00      0  37        1         0
#> 64    24.00      0  43        0         0
#> 19    24.00      0  57        0         1
#> 115.2 24.00      0  NA        1         0
#> 22    24.00      0  52        1         0
#> 74.1  24.00      0  43        0         1
#> 122   24.00      0  66        0         0
#> 163.1 24.00      0  66        0         0
#> 126   24.00      0  48        0         0
#> 21    24.00      0  47        0         0
#> 104   24.00      0  50        1         0
#> 151   24.00      0  42        0         0
#> 142   24.00      0  53        0         0
#> 38.1  24.00      0  31        1         0
#> 2.1   24.00      0   9        0         0
#> 120   24.00      0  68        0         1
#> 147.1 24.00      0  76        1         0
#> 73.2  24.00      0  NA        0         1
#> 2.2   24.00      0   9        0         0
#> 185.4 24.00      0  44        1         0
#> 174.1 24.00      0  49        1         0
#> 54    24.00      0  53        1         0
#> 64.1  24.00      0  43        0         0
#> 44.1  24.00      0  56        0         0
#> 148   24.00      0  61        1         0
#> 87.1  24.00      0  27        0         0
#> 19.1  24.00      0  57        0         1
#> 148.1 24.00      0  61        1         0
#> 102.1 24.00      0  49        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.744         NA        NA      NA
#> 2 age, Cure model           0.0165        NA        NA      NA
#> 3 grade_ii, Cure model     -0.439         NA        NA      NA
#> 4 grade_iii, Cure model     1.58          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00132        NA        NA      NA
#> 2 grade_ii, Survival model   0.298          NA        NA      NA
#> 3 grade_iii, Survival model  0.361          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.74423           0.01651          -0.43931           1.58094  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    258.7 
#> Residual Deviance: 231.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.74423482       0.01650688      -0.43930622       1.58094391 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001319729      0.298182360      0.360598550 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.37573950 0.24915368 0.33604402 0.58966408 0.52154675 0.93041967
#>   [7] 0.66220909 0.76208820 0.53031826 0.36569960 0.88005251 0.81417568
#>  [13] 0.54776695 0.87278602 0.09637799 0.11295146 0.58125954 0.83634142
#>  [19] 0.43099416 0.29546360 0.29546360 0.45874125 0.82896361 0.42171808
#>  [25] 0.01602094 0.16551422 0.17806394 0.76962890 0.85092235 0.97953421
#>  [31] 0.78461774 0.33604402 0.76962890 0.64601464 0.69375836 0.23726673
#>  [37] 0.69375836 0.97953421 0.58966408 0.86549626 0.44025722 0.41235658
#>  [43] 0.58966408 0.73936422 0.53908232 0.04147056 0.57284181 0.61396695
#>  [49] 0.28395834 0.90172327 0.54776695 0.14040594 0.88005251 0.04147056
#>  [55] 0.94459743 0.07796465 0.67807984 0.90894101 0.79214468 0.75451371
#>  [61] 0.91612711 0.66220909 0.85092235 0.47691721 0.29546360 0.79214468
#>  [67] 0.96560378 0.44950425 0.24915368 0.17806394 0.33604402 0.22506959
#>  [73] 0.93752206 0.67807984 0.48594579 0.21283111 0.71673244 0.83634142
#>  [79] 0.71673244 0.27220656 0.61396695 0.54776695 0.69375836 0.79214468
#>  [85] 0.46787889 0.37573950 0.97953421 0.65413863 0.95164808 0.89450077
#>  [91] 0.37573950 0.95164808 0.50379324 0.92328810 0.37573950 0.17806394
#>  [97] 0.73936422 0.51271611 0.29546360 0.97258313 0.14040594 0.82158351
#> [103] 0.61396695 0.48594579 0.11295146 0.61396695 0.71673244 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    36    66   139    45    40    93    79   167   184   153   177    81   117 
#> 21.19 22.13 21.49 17.42 18.00 10.33 16.23 15.55 17.77 21.33 12.53 14.06 17.46 
#>   154   164   129    30   123   150   197 197.1    76   155    32    24    92 
#> 12.63 23.60 23.41 17.43 13.00 20.33 21.60 21.60 19.22 13.08 20.90 23.89 22.92 
#>   113   157    14    91   180 139.1 157.1   192    26   194  26.1  91.1  45.1 
#> 22.86 15.10 12.89  5.33 14.82 21.49 15.10 16.44 15.77 22.40 15.77  5.33 17.42 
#>   140   105    90  45.2     6   110    78   111    23   136    56 117.1    69 
#> 12.68 19.75 20.94 17.42 15.64 17.56 23.88 17.45 16.92 21.83 12.21 17.46 23.23 
#> 177.1  78.1   145    86   188    43    13    39   107  79.1  14.1   179 197.2 
#> 12.53 23.88 10.07 23.81 16.16 12.10 14.34 15.59 11.18 16.23 12.89 18.63 21.60 
#>  13.1   183    58  66.1 113.1 139.2   169    61 188.1    88    15   125 123.1 
#> 14.34  9.24 19.34 22.13 22.86 21.49 22.41 10.12 16.16 18.37 22.68 15.65 13.00 
#> 125.1   175  23.1 117.2  26.2  13.2    97  36.1  91.2     5   101    42    99 
#> 15.65 21.91 16.92 17.46 15.77 14.34 19.14 21.19  5.33 16.43  9.97 12.43 21.19 
#> 101.1   108   159  36.2 113.2   6.1    51 197.3    77  69.1    60  23.2  88.1 
#>  9.97 18.29 10.55 21.19 22.86 15.64 18.23 21.60  7.27 23.23 13.15 16.92 18.37 
#> 129.1  23.3 125.2    33   143   176    27   160   135   141   161    67    98 
#> 23.41 16.92 15.65 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 176.1   185    94   186    87 135.1   112    46 186.1     2   162   137     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174   196  27.1    38 160.1   163  46.1   178 141.1    47    28   102   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 185.1    82   118    83    48    74 143.1  46.2   132   147    71  82.1    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  83.1 185.2   146     7 185.3 160.2   7.1    64    19    22  74.1   122 163.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126    21   104   151   142  38.1   2.1   120 147.1   2.2 185.4 174.1    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  64.1  44.1   148  87.1  19.1 148.1 102.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[78]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.000560114               0.647782058               0.440785727 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.28740118              0.02677387             -0.11922841 
#>   grade_iii, Cure model 
#>              0.50684620 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 91     5.33      1  61        0         1
#> 91.1   5.33      1  61        0         1
#> 113   22.86      1  34        0         0
#> 108   18.29      1  39        0         1
#> 153   21.33      1  55        1         0
#> 114   13.68      1  NA        0         0
#> 167   15.55      1  56        1         0
#> 50    10.02      1  NA        1         0
#> 45    17.42      1  54        0         1
#> 51    18.23      1  83        0         1
#> 16     8.71      1  71        0         1
#> 39    15.59      1  37        0         1
#> 81    14.06      1  34        0         0
#> 4     17.64      1  NA        0         1
#> 167.1 15.55      1  56        1         0
#> 183    9.24      1  67        1         0
#> 52    10.42      1  52        0         1
#> 181   16.46      1  45        0         1
#> 154   12.63      1  20        1         0
#> 149    8.37      1  33        1         0
#> 13    14.34      1  54        0         1
#> 93    10.33      1  52        0         1
#> 26    15.77      1  49        0         1
#> 127    3.53      1  62        0         1
#> 105   19.75      1  60        0         0
#> 56    12.21      1  60        0         0
#> 195   11.76      1  NA        1         0
#> 150   20.33      1  48        0         0
#> 164   23.60      1  76        0         1
#> 66    22.13      1  53        0         0
#> 91.2   5.33      1  61        0         1
#> 37    12.52      1  57        1         0
#> 13.1  14.34      1  54        0         1
#> 125   15.65      1  67        1         0
#> 123   13.00      1  44        1         0
#> 13.2  14.34      1  54        0         1
#> 4.1   17.64      1  NA        0         1
#> 76    19.22      1  54        0         1
#> 58    19.34      1  39        0         0
#> 188   16.16      1  46        0         1
#> 159   10.55      1  50        0         1
#> 29    15.45      1  68        1         0
#> 179   18.63      1  42        0         0
#> 23    16.92      1  61        0         0
#> 117   17.46      1  26        0         1
#> 184   17.77      1  38        0         0
#> 16.1   8.71      1  71        0         1
#> 154.1 12.63      1  20        1         0
#> 32    20.90      1  37        1         0
#> 107   11.18      1  54        1         0
#> 10    10.53      1  34        0         0
#> 124    9.73      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 167.2 15.55      1  56        1         0
#> 99    21.19      1  38        0         1
#> 145   10.07      1  65        1         0
#> 23.1  16.92      1  61        0         0
#> 190   20.81      1  42        1         0
#> 139   21.49      1  63        1         0
#> 180   14.82      1  37        0         0
#> 124.1  9.73      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 78    23.88      1  43        0         0
#> 150.1 20.33      1  48        0         0
#> 24    23.89      1  38        0         0
#> 145.1 10.07      1  65        1         0
#> 117.1 17.46      1  26        0         1
#> 108.1 18.29      1  39        0         1
#> 23.2  16.92      1  61        0         0
#> 188.1 16.16      1  46        0         1
#> 167.3 15.55      1  56        1         0
#> 140   12.68      1  59        1         0
#> 136.1 21.83      1  43        0         1
#> 16.2   8.71      1  71        0         1
#> 4.2   17.64      1  NA        0         1
#> 5     16.43      1  51        0         1
#> 164.1 23.60      1  76        0         1
#> 99.1  21.19      1  38        0         1
#> 39.1  15.59      1  37        0         1
#> 184.1 17.77      1  38        0         0
#> 99.2  21.19      1  38        0         1
#> 52.1  10.42      1  52        0         1
#> 140.1 12.68      1  59        1         0
#> 197   21.60      1  69        1         0
#> 29.1  15.45      1  68        1         0
#> 32.1  20.90      1  37        1         0
#> 92    22.92      1  47        0         1
#> 199   19.81      1  NA        0         1
#> 188.2 16.16      1  46        0         1
#> 140.2 12.68      1  59        1         0
#> 110   17.56      1  65        0         1
#> 51.1  18.23      1  83        0         1
#> 111   17.45      1  47        0         1
#> 139.1 21.49      1  63        1         0
#> 199.1 19.81      1  NA        0         1
#> 85    16.44      1  36        0         0
#> 4.3   17.64      1  NA        0         1
#> 90    20.94      1  50        0         1
#> 154.2 12.63      1  20        1         0
#> 140.3 12.68      1  59        1         0
#> 79    16.23      1  54        1         0
#> 61    10.12      1  36        0         1
#> 76.1  19.22      1  54        0         1
#> 170   19.54      1  43        0         1
#> 51.2  18.23      1  83        0         1
#> 171   16.57      1  41        0         1
#> 129   23.41      1  53        1         0
#> 88    18.37      1  47        0         0
#> 56.1  12.21      1  60        0         0
#> 15    22.68      1  48        0         0
#> 130   16.47      1  53        0         1
#> 177   12.53      1  75        0         0
#> 178   24.00      0  52        1         0
#> 72    24.00      0  40        0         1
#> 198   24.00      0  66        0         1
#> 82    24.00      0  34        0         0
#> 144   24.00      0  28        0         1
#> 120   24.00      0  68        0         1
#> 12    24.00      0  63        0         0
#> 176   24.00      0  43        0         1
#> 109   24.00      0  48        0         0
#> 144.1 24.00      0  28        0         1
#> 19    24.00      0  57        0         1
#> 7     24.00      0  37        1         0
#> 147   24.00      0  76        1         0
#> 7.1   24.00      0  37        1         0
#> 185   24.00      0  44        1         0
#> 7.2   24.00      0  37        1         0
#> 160   24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 83    24.00      0   6        0         0
#> 104   24.00      0  50        1         0
#> 147.1 24.00      0  76        1         0
#> 104.1 24.00      0  50        1         0
#> 65    24.00      0  57        1         0
#> 54    24.00      0  53        1         0
#> 3     24.00      0  31        1         0
#> 115   24.00      0  NA        1         0
#> 104.2 24.00      0  50        1         0
#> 9.1   24.00      0  31        1         0
#> 120.1 24.00      0  68        0         1
#> 122   24.00      0  66        0         0
#> 2     24.00      0   9        0         0
#> 54.1  24.00      0  53        1         0
#> 9.2   24.00      0  31        1         0
#> 12.1  24.00      0  63        0         0
#> 138   24.00      0  44        1         0
#> 116   24.00      0  58        0         1
#> 94    24.00      0  51        0         1
#> 73    24.00      0  NA        0         1
#> 173   24.00      0  19        0         1
#> 116.1 24.00      0  58        0         1
#> 54.2  24.00      0  53        1         0
#> 120.2 24.00      0  68        0         1
#> 152   24.00      0  36        0         1
#> 151   24.00      0  42        0         0
#> 47    24.00      0  38        0         1
#> 119   24.00      0  17        0         0
#> 19.1  24.00      0  57        0         1
#> 119.1 24.00      0  17        0         0
#> 191   24.00      0  60        0         1
#> 193   24.00      0  45        0         1
#> 3.1   24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 119.2 24.00      0  17        0         0
#> 174   24.00      0  49        1         0
#> 138.1 24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 19.2  24.00      0  57        0         1
#> 1     24.00      0  23        1         0
#> 53    24.00      0  32        0         1
#> 126   24.00      0  48        0         0
#> 3.2   24.00      0  31        1         0
#> 94.1  24.00      0  51        0         1
#> 135   24.00      0  58        1         0
#> 173.1 24.00      0  19        0         1
#> 143   24.00      0  51        0         0
#> 71.1  24.00      0  51        0         0
#> 74    24.00      0  43        0         1
#> 9.3   24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 120.3 24.00      0  68        0         1
#> 71.2  24.00      0  51        0         0
#> 34    24.00      0  36        0         0
#> 146   24.00      0  63        1         0
#> 120.4 24.00      0  68        0         1
#> 200   24.00      0  64        0         0
#> 132   24.00      0  55        0         0
#> 119.3 24.00      0  17        0         0
#> 137   24.00      0  45        1         0
#> 173.2 24.00      0  19        0         1
#> 161   24.00      0  45        0         0
#> 182   24.00      0  35        0         0
#> 193.1 24.00      0  45        0         1
#> 142   24.00      0  53        0         0
#> 185.1 24.00      0  44        1         0
#> 104.3 24.00      0  50        1         0
#> 34.1  24.00      0  36        0         0
#> 46    24.00      0  71        0         0
#> 44    24.00      0  56        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.29          NA        NA      NA
#> 2 age, Cure model           0.0268        NA        NA      NA
#> 3 grade_ii, Cure model     -0.119         NA        NA      NA
#> 4 grade_iii, Cure model     0.507         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000560        NA        NA      NA
#> 2 grade_ii, Survival model  0.648           NA        NA      NA
#> 3 grade_iii, Survival model 0.441           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.28740           0.02677          -0.11923           0.50685  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258 
#> Residual Deviance: 246.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.28740118       0.02677387      -0.11922841       0.50684620 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.000560114      0.647782058      0.440785727 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.97495514 0.97495514 0.15745388 0.47349001 0.29378627 0.71813037
#>   [7] 0.57468003 0.49265341 0.94947044 0.70222807 0.79265879 0.71813037
#>  [13] 0.94297544 0.90332354 0.62718462 0.83520403 0.96858216 0.77074331
#>  [19] 0.91665157 0.68592397 0.99372707 0.40319167 0.86943480 0.38269379
#>  [25] 0.08395198 0.20768522 0.97495514 0.86259937 0.77074331 0.69412314
#>  [31] 0.80003101 0.77074331 0.43400333 0.42378697 0.66144668 0.88982511
#>  [37] 0.74829867 0.45364598 0.58354863 0.54779900 0.52012138 0.94947044
#>  [43] 0.83520403 0.35121336 0.88304464 0.89657481 0.19098050 0.71813037
#>  [49] 0.30625569 0.92994210 0.58354863 0.37228855 0.26835142 0.76323819
#>  [55] 0.22435030 0.05149373 0.38269379 0.01934665 0.92994210 0.54779900
#>  [61] 0.47349001 0.58354863 0.66144668 0.71813037 0.80733865 0.22435030
#>  [67] 0.94947044 0.64443916 0.08395198 0.30625569 0.70222807 0.52012138
#>  [73] 0.30625569 0.90332354 0.80733865 0.25394770 0.74829867 0.35121336
#>  [79] 0.14063651 0.66144668 0.80733865 0.53858441 0.49265341 0.56572832
#>  [85] 0.26835142 0.63581308 0.33985457 0.83520403 0.80733865 0.65299663
#>  [91] 0.92331084 0.43400333 0.41356517 0.49265341 0.60971150 0.12253486
#>  [97] 0.46357083 0.86943480 0.17423852 0.61848513 0.85571081 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>    91  91.1   113   108   153   167    45    51    16    39    81 167.1   183 
#>  5.33  5.33 22.86 18.29 21.33 15.55 17.42 18.23  8.71 15.59 14.06 15.55  9.24 
#>    52   181   154   149    13    93    26   127   105    56   150   164    66 
#> 10.42 16.46 12.63  8.37 14.34 10.33 15.77  3.53 19.75 12.21 20.33 23.60 22.13 
#>  91.2    37  13.1   125   123  13.2    76    58   188   159    29   179    23 
#>  5.33 12.52 14.34 15.65 13.00 14.34 19.22 19.34 16.16 10.55 15.45 18.63 16.92 
#>   117   184  16.1 154.1    32   107    10   169 167.2    99   145  23.1   190 
#> 17.46 17.77  8.71 12.63 20.90 11.18 10.53 22.41 15.55 21.19 10.07 16.92 20.81 
#>   139   180   136    78 150.1    24 145.1 117.1 108.1  23.2 188.1 167.3   140 
#> 21.49 14.82 21.83 23.88 20.33 23.89 10.07 17.46 18.29 16.92 16.16 15.55 12.68 
#> 136.1  16.2     5 164.1  99.1  39.1 184.1  99.2  52.1 140.1   197  29.1  32.1 
#> 21.83  8.71 16.43 23.60 21.19 15.59 17.77 21.19 10.42 12.68 21.60 15.45 20.90 
#>    92 188.2 140.2   110  51.1   111 139.1    85    90 154.2 140.3    79    61 
#> 22.92 16.16 12.68 17.56 18.23 17.45 21.49 16.44 20.94 12.63 12.68 16.23 10.12 
#>  76.1   170  51.2   171   129    88  56.1    15   130   177   178    72   198 
#> 19.22 19.54 18.23 16.57 23.41 18.37 12.21 22.68 16.47 12.53 24.00 24.00 24.00 
#>    82   144   120    12   176   109 144.1    19     7   147   7.1   185   7.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160     9    83   104 147.1 104.1    65    54     3 104.2   9.1 120.1   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2  54.1   9.2  12.1   138   116    94   173 116.1  54.2 120.2   152   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47   119  19.1 119.1   191   193   3.1    98 119.2   174 138.1    71  19.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1    53   126   3.2  94.1   135 173.1   143  71.1    74   9.3    28 120.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  71.2    34   146 120.4   200   132 119.3   137 173.2   161   182 193.1   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 185.1 104.3  34.1    46    44 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[79]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.006819755               0.248918320              -0.001183171 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.98012939              0.01451753              0.41421745 
#>   grade_iii, Cure model 
#>              1.48008548 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 107   11.18      1  54        1         0
#> 43    12.10      1  61        0         1
#> 57    14.46      1  45        0         1
#> 56    12.21      1  60        0         0
#> 6     15.64      1  39        0         0
#> 153   21.33      1  55        1         0
#> 23    16.92      1  61        0         0
#> 155   13.08      1  26        0         0
#> 187    9.92      1  39        1         0
#> 49    12.19      1  48        1         0
#> 49.1  12.19      1  48        1         0
#> 180   14.82      1  37        0         0
#> 192   16.44      1  31        1         0
#> 139   21.49      1  63        1         0
#> 136   21.83      1  43        0         1
#> 114   13.68      1  NA        0         0
#> 96    14.54      1  33        0         1
#> 86    23.81      1  58        0         1
#> 187.1  9.92      1  39        1         0
#> 106   16.67      1  49        1         0
#> 58    19.34      1  39        0         0
#> 70     7.38      1  30        1         0
#> 114.1 13.68      1  NA        0         0
#> 90    20.94      1  50        0         1
#> 40    18.00      1  28        1         0
#> 66    22.13      1  53        0         0
#> 42    12.43      1  49        0         1
#> 154   12.63      1  20        1         0
#> 125   15.65      1  67        1         0
#> 42.1  12.43      1  49        0         1
#> 36    21.19      1  48        0         1
#> 127    3.53      1  62        0         1
#> 45    17.42      1  54        0         1
#> 167   15.55      1  56        1         0
#> 58.1  19.34      1  39        0         0
#> 108   18.29      1  39        0         1
#> 58.2  19.34      1  39        0         0
#> 139.1 21.49      1  63        1         0
#> 171   16.57      1  41        0         1
#> 13    14.34      1  54        0         1
#> 166   19.98      1  48        0         0
#> 197   21.60      1  69        1         0
#> 78    23.88      1  43        0         0
#> 18    15.21      1  49        1         0
#> 37    12.52      1  57        1         0
#> 184   17.77      1  38        0         0
#> 194   22.40      1  38        0         1
#> 158   20.14      1  74        1         0
#> 70.1   7.38      1  30        1         0
#> 106.1 16.67      1  49        1         0
#> 92    22.92      1  47        0         1
#> 63    22.77      1  31        1         0
#> 100   16.07      1  60        0         0
#> 77     7.27      1  67        0         1
#> 93    10.33      1  52        0         1
#> 85    16.44      1  36        0         0
#> 25     6.32      1  34        1         0
#> 56.1  12.21      1  60        0         0
#> 140   12.68      1  59        1         0
#> 136.1 21.83      1  43        0         1
#> 106.2 16.67      1  49        1         0
#> 136.2 21.83      1  43        0         1
#> 130   16.47      1  53        0         1
#> 30    17.43      1  78        0         0
#> 37.1  12.52      1  57        1         0
#> 187.2  9.92      1  39        1         0
#> 96.1  14.54      1  33        0         1
#> 157   15.10      1  47        0         0
#> 155.1 13.08      1  26        0         0
#> 158.1 20.14      1  74        1         0
#> 32    20.90      1  37        1         0
#> 6.1   15.64      1  39        0         0
#> 91     5.33      1  61        0         1
#> 36.1  21.19      1  48        0         1
#> 181   16.46      1  45        0         1
#> 50    10.02      1  NA        1         0
#> 145   10.07      1  65        1         0
#> 128   20.35      1  35        0         1
#> 59    10.16      1  NA        1         0
#> 40.1  18.00      1  28        1         0
#> 91.1   5.33      1  61        0         1
#> 70.2   7.38      1  30        1         0
#> 39    15.59      1  37        0         1
#> 189   10.51      1  NA        1         0
#> 130.1 16.47      1  53        0         1
#> 13.1  14.34      1  54        0         1
#> 157.1 15.10      1  47        0         0
#> 56.2  12.21      1  60        0         0
#> 37.2  12.52      1  57        1         0
#> 133   14.65      1  57        0         0
#> 90.1  20.94      1  50        0         1
#> 179   18.63      1  42        0         0
#> 66.1  22.13      1  53        0         0
#> 169   22.41      1  46        0         0
#> 175   21.91      1  43        0         0
#> 10    10.53      1  34        0         0
#> 139.2 21.49      1  63        1         0
#> 55    19.34      1  69        0         1
#> 16     8.71      1  71        0         1
#> 155.2 13.08      1  26        0         0
#> 37.3  12.52      1  57        1         0
#> 129   23.41      1  53        1         0
#> 197.1 21.60      1  69        1         0
#> 86.1  23.81      1  58        0         1
#> 192.1 16.44      1  31        1         0
#> 130.2 16.47      1  53        0         1
#> 89    11.44      1  NA        0         0
#> 133.1 14.65      1  57        0         0
#> 133.2 14.65      1  57        0         0
#> 189.1 10.51      1  NA        1         0
#> 93.1  10.33      1  52        0         1
#> 188   16.16      1  46        0         1
#> 34    24.00      0  36        0         0
#> 53    24.00      0  32        0         1
#> 141   24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 160   24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 67    24.00      0  25        0         0
#> 131   24.00      0  66        0         0
#> 146   24.00      0  63        1         0
#> 185   24.00      0  44        1         0
#> 162   24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 161   24.00      0  45        0         0
#> 112   24.00      0  61        0         0
#> 9     24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 64    24.00      0  43        0         0
#> 126   24.00      0  48        0         0
#> 132   24.00      0  55        0         0
#> 9.1   24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 178   24.00      0  52        1         0
#> 143   24.00      0  51        0         0
#> 33    24.00      0  53        0         0
#> 137   24.00      0  45        1         0
#> 11    24.00      0  42        0         1
#> 137.1 24.00      0  45        1         0
#> 75    24.00      0  21        1         0
#> 161.1 24.00      0  45        0         0
#> 172   24.00      0  41        0         0
#> 73    24.00      0  NA        0         1
#> 64.1  24.00      0  43        0         0
#> 122   24.00      0  66        0         0
#> 9.2   24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 109   24.00      0  48        0         0
#> 185.1 24.00      0  44        1         0
#> 112.1 24.00      0  61        0         0
#> 120   24.00      0  68        0         1
#> 193   24.00      0  45        0         1
#> 2     24.00      0   9        0         0
#> 73.1  24.00      0  NA        0         1
#> 126.1 24.00      0  48        0         0
#> 7     24.00      0  37        1         0
#> 83    24.00      0   6        0         0
#> 118   24.00      0  44        1         0
#> 151.1 24.00      0  42        0         0
#> 143.1 24.00      0  51        0         0
#> 147.1 24.00      0  76        1         0
#> 165   24.00      0  47        0         0
#> 38    24.00      0  31        1         0
#> 126.2 24.00      0  48        0         0
#> 1.1   24.00      0  23        1         0
#> 162.1 24.00      0  51        0         0
#> 20    24.00      0  46        1         0
#> 137.2 24.00      0  45        1         0
#> 104   24.00      0  50        1         0
#> 3     24.00      0  31        1         0
#> 3.1   24.00      0  31        1         0
#> 162.2 24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 120.1 24.00      0  68        0         1
#> 131.1 24.00      0  66        0         0
#> 198   24.00      0  66        0         1
#> 132.1 24.00      0  55        0         0
#> 193.1 24.00      0  45        0         1
#> 54    24.00      0  53        1         0
#> 143.2 24.00      0  51        0         0
#> 148   24.00      0  61        1         0
#> 80    24.00      0  41        0         0
#> 121   24.00      0  57        1         0
#> 2.1   24.00      0   9        0         0
#> 103   24.00      0  56        1         0
#> 7.1   24.00      0  37        1         0
#> 152   24.00      0  36        0         1
#> 186   24.00      0  45        1         0
#> 151.2 24.00      0  42        0         0
#> 102   24.00      0  49        0         0
#> 132.2 24.00      0  55        0         0
#> 20.1  24.00      0  46        1         0
#> 72    24.00      0  40        0         1
#> 102.1 24.00      0  49        0         0
#> 146.1 24.00      0  63        1         0
#> 165.1 24.00      0  47        0         0
#> 176   24.00      0  43        0         1
#> 98    24.00      0  34        1         0
#> 28    24.00      0  67        1         0
#> 87    24.00      0  27        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.980         NA        NA      NA
#> 2 age, Cure model           0.0145        NA        NA      NA
#> 3 grade_ii, Cure model      0.414         NA        NA      NA
#> 4 grade_iii, Cure model     1.48          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00682        NA        NA      NA
#> 2 grade_ii, Survival model   0.249          NA        NA      NA
#> 3 grade_iii, Survival model -0.00118        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.98013           0.01452           0.41422           1.48009  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 246.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.98012939       0.01451753       0.41421745       1.48008548 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.006819755      0.248918320     -0.001183171 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.801910225 0.790399678 0.580390557 0.733875256 0.444635725 0.118402773
#>   [7] 0.298944466 0.613049927 0.859846668 0.767658354 0.767658354 0.516817647
#>  [13] 0.385035094 0.096584616 0.061832216 0.558956979 0.005099368 0.859846668
#>  [19] 0.308496640 0.200453788 0.906205176 0.141945783 0.252908195 0.042246155
#>  [25] 0.711525124 0.656827039 0.434459295 0.711525124 0.126235551 0.988080328
#>  [31] 0.289495065 0.475303009 0.200453788 0.243700522 0.200453788 0.096584616
#>  [37] 0.336482514 0.591261886 0.191748976 0.082008862 0.001334210 0.485663378
#>  [43] 0.667911092 0.270912085 0.035998961 0.174942663 0.906205176 0.308496640
#>  [49] 0.018554793 0.024296137 0.424327441 0.940933910 0.825002479 0.385035094
#>  [55] 0.952709485 0.733875256 0.645720669 0.061832216 0.308496640 0.061832216
#>  [61] 0.346149958 0.280140003 0.667911092 0.859846668 0.558956979 0.496041847
#>  [67] 0.613049927 0.174942663 0.158177954 0.444635725 0.964482560 0.126235551
#>  [73] 0.375067310 0.848159599 0.166515278 0.252908195 0.964482560 0.906205176
#>  [79] 0.464970693 0.346149958 0.591261886 0.496041847 0.733875256 0.667911092
#>  [85] 0.527359842 0.141945783 0.234573725 0.042246155 0.029992628 0.054883367
#>  [91] 0.813439392 0.096584616 0.200453788 0.894457205 0.613049927 0.667911092
#>  [97] 0.013272005 0.082008862 0.005099368 0.385035094 0.346149958 0.527359842
#> [103] 0.527359842 0.825002479 0.414276188 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   107    43    57    56     6   153    23   155   187    49  49.1   180   192 
#> 11.18 12.10 14.46 12.21 15.64 21.33 16.92 13.08  9.92 12.19 12.19 14.82 16.44 
#>   139   136    96    86 187.1   106    58    70    90    40    66    42   154 
#> 21.49 21.83 14.54 23.81  9.92 16.67 19.34  7.38 20.94 18.00 22.13 12.43 12.63 
#>   125  42.1    36   127    45   167  58.1   108  58.2 139.1   171    13   166 
#> 15.65 12.43 21.19  3.53 17.42 15.55 19.34 18.29 19.34 21.49 16.57 14.34 19.98 
#>   197    78    18    37   184   194   158  70.1 106.1    92    63   100    77 
#> 21.60 23.88 15.21 12.52 17.77 22.40 20.14  7.38 16.67 22.92 22.77 16.07  7.27 
#>    93    85    25  56.1   140 136.1 106.2 136.2   130    30  37.1 187.2  96.1 
#> 10.33 16.44  6.32 12.21 12.68 21.83 16.67 21.83 16.47 17.43 12.52  9.92 14.54 
#>   157 155.1 158.1    32   6.1    91  36.1   181   145   128  40.1  91.1  70.2 
#> 15.10 13.08 20.14 20.90 15.64  5.33 21.19 16.46 10.07 20.35 18.00  5.33  7.38 
#>    39 130.1  13.1 157.1  56.2  37.2   133  90.1   179  66.1   169   175    10 
#> 15.59 16.47 14.34 15.10 12.21 12.52 14.65 20.94 18.63 22.13 22.41 21.91 10.53 
#> 139.2    55    16 155.2  37.3   129 197.1  86.1 192.1 130.2 133.1 133.2  93.1 
#> 21.49 19.34  8.71 13.08 12.52 23.41 21.60 23.81 16.44 16.47 14.65 14.65 10.33 
#>   188    34    53   141   147   160    47    67   131   146   185   162   151 
#> 16.16 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161   112     9    46    64   126   132   9.1    21   178   143    33   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11 137.1    75 161.1   172  64.1   122   9.2     1   109 185.1 112.1   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193     2 126.1     7    83   118 151.1 143.1 147.1   165    38 126.2   1.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 162.1    20 137.2   104     3   3.1 162.2   119 120.1 131.1   198 132.1 193.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54 143.2   148    80   121   2.1   103   7.1   152   186 151.2   102 132.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.1    72 102.1 146.1 165.1   176    98    28    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[80]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01646933                0.52669717                0.15049551 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.05293960              0.02454841             -0.46091859 
#>   grade_iii, Cure model 
#>              0.75175192 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 49    12.19      1  48        1         0
#> 159   10.55      1  50        0         1
#> 8     18.43      1  32        0         0
#> 110   17.56      1  65        0         1
#> 90    20.94      1  50        0         1
#> 107   11.18      1  54        1         0
#> 58    19.34      1  39        0         0
#> 55    19.34      1  69        0         1
#> 188   16.16      1  46        0         1
#> 130   16.47      1  53        0         1
#> 60    13.15      1  38        1         0
#> 91     5.33      1  61        0         1
#> 61    10.12      1  36        0         1
#> 128   20.35      1  35        0         1
#> 153   21.33      1  55        1         0
#> 13    14.34      1  54        0         1
#> 76    19.22      1  54        0         1
#> 49.1  12.19      1  48        1         0
#> 92    22.92      1  47        0         1
#> 101    9.97      1  10        0         1
#> 180   14.82      1  37        0         0
#> 15    22.68      1  48        0         0
#> 29    15.45      1  68        1         0
#> 145   10.07      1  65        1         0
#> 170   19.54      1  43        0         1
#> 111   17.45      1  47        0         1
#> 23    16.92      1  61        0         0
#> 13.1  14.34      1  54        0         1
#> 4     17.64      1  NA        0         1
#> 169   22.41      1  46        0         0
#> 190   20.81      1  42        1         0
#> 107.1 11.18      1  54        1         0
#> 77     7.27      1  67        0         1
#> 197   21.60      1  69        1         0
#> 39    15.59      1  37        0         1
#> 194   22.40      1  38        0         1
#> 158   20.14      1  74        1         0
#> 59    10.16      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 90.1  20.94      1  50        0         1
#> 85    16.44      1  36        0         0
#> 14    12.89      1  21        0         0
#> 181   16.46      1  45        0         1
#> 10    10.53      1  34        0         0
#> 24    23.89      1  38        0         0
#> 77.1   7.27      1  67        0         1
#> 139   21.49      1  63        1         0
#> 188.1 16.16      1  46        0         1
#> 13.2  14.34      1  54        0         1
#> 70     7.38      1  30        1         0
#> 110.1 17.56      1  65        0         1
#> 29.1  15.45      1  68        1         0
#> 76.1  19.22      1  54        0         1
#> 61.1  10.12      1  36        0         1
#> 15.1  22.68      1  48        0         0
#> 164   23.60      1  76        0         1
#> 181.1 16.46      1  45        0         1
#> 92.1  22.92      1  47        0         1
#> 194.1 22.40      1  38        0         1
#> 145.1 10.07      1  65        1         0
#> 91.1   5.33      1  61        0         1
#> 81    14.06      1  34        0         0
#> 105   19.75      1  60        0         0
#> 123   13.00      1  44        1         0
#> 85.1  16.44      1  36        0         0
#> 16     8.71      1  71        0         1
#> 157   15.10      1  47        0         0
#> 100   16.07      1  60        0         0
#> 117   17.46      1  26        0         1
#> 88    18.37      1  47        0         0
#> 159.1 10.55      1  50        0         1
#> 168   23.72      1  70        0         0
#> 170.1 19.54      1  43        0         1
#> 55.1  19.34      1  69        0         1
#> 123.1 13.00      1  44        1         0
#> 170.2 19.54      1  43        0         1
#> 181.2 16.46      1  45        0         1
#> 150   20.33      1  48        0         0
#> 10.1  10.53      1  34        0         0
#> 99    21.19      1  38        0         1
#> 139.1 21.49      1  63        1         0
#> 108   18.29      1  39        0         1
#> 150.1 20.33      1  48        0         0
#> 192   16.44      1  31        1         0
#> 164.1 23.60      1  76        0         1
#> 100.1 16.07      1  60        0         0
#> 155   13.08      1  26        0         0
#> 85.2  16.44      1  36        0         0
#> 154   12.63      1  20        1         0
#> 39.1  15.59      1  37        0         1
#> 158.1 20.14      1  74        1         0
#> 199   19.81      1  NA        0         1
#> 56    12.21      1  60        0         0
#> 4.1   17.64      1  NA        0         1
#> 13.3  14.34      1  54        0         1
#> 57    14.46      1  45        0         1
#> 195   11.76      1  NA        1         0
#> 100.2 16.07      1  60        0         0
#> 111.1 17.45      1  47        0         1
#> 81.1  14.06      1  34        0         0
#> 37    12.52      1  57        1         0
#> 177   12.53      1  75        0         0
#> 125   15.65      1  67        1         0
#> 18    15.21      1  49        1         0
#> 50    10.02      1  NA        1         0
#> 10.2  10.53      1  34        0         0
#> 52    10.42      1  52        0         1
#> 85.3  16.44      1  36        0         0
#> 45    17.42      1  54        0         1
#> 153.1 21.33      1  55        1         0
#> 51    18.23      1  83        0         1
#> 189   10.51      1  NA        1         0
#> 112   24.00      0  61        0         0
#> 98    24.00      0  34        1         0
#> 193   24.00      0  45        0         1
#> 95    24.00      0  68        0         1
#> 120   24.00      0  68        0         1
#> 83    24.00      0   6        0         0
#> 162   24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 73    24.00      0  NA        0         1
#> 121   24.00      0  57        1         0
#> 152   24.00      0  36        0         1
#> 28    24.00      0  67        1         0
#> 73.1  24.00      0  NA        0         1
#> 173   24.00      0  19        0         1
#> 2     24.00      0   9        0         0
#> 198   24.00      0  66        0         1
#> 11.1  24.00      0  42        0         1
#> 141   24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 98.1  24.00      0  34        1         0
#> 141.1 24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 173.1 24.00      0  19        0         1
#> 44    24.00      0  56        0         0
#> 9     24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 21    24.00      0  47        0         0
#> 115   24.00      0  NA        1         0
#> 152.1 24.00      0  36        0         1
#> 137   24.00      0  45        1         0
#> 33    24.00      0  53        0         0
#> 182   24.00      0  35        0         0
#> 84    24.00      0  39        0         1
#> 102   24.00      0  49        0         0
#> 104   24.00      0  50        1         0
#> 163   24.00      0  66        0         0
#> 165   24.00      0  47        0         0
#> 54    24.00      0  53        1         0
#> 102.1 24.00      0  49        0         0
#> 119   24.00      0  17        0         0
#> 109   24.00      0  48        0         0
#> 185   24.00      0  44        1         0
#> 138   24.00      0  44        1         0
#> 35    24.00      0  51        0         0
#> 73.2  24.00      0  NA        0         1
#> 17    24.00      0  38        0         1
#> 185.1 24.00      0  44        1         0
#> 185.2 24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 75    24.00      0  21        1         0
#> 161   24.00      0  45        0         0
#> 28.1  24.00      0  67        1         0
#> 116   24.00      0  58        0         1
#> 122   24.00      0  66        0         0
#> 84.1  24.00      0  39        0         1
#> 119.1 24.00      0  17        0         0
#> 156   24.00      0  50        1         0
#> 178   24.00      0  52        1         0
#> 131   24.00      0  66        0         0
#> 138.1 24.00      0  44        1         0
#> 12    24.00      0  63        0         0
#> 126   24.00      0  48        0         0
#> 20    24.00      0  46        1         0
#> 104.1 24.00      0  50        1         0
#> 17.1  24.00      0  38        0         1
#> 156.1 24.00      0  50        1         0
#> 7     24.00      0  37        1         0
#> 152.2 24.00      0  36        0         1
#> 122.1 24.00      0  66        0         0
#> 38    24.00      0  31        1         0
#> 75.1  24.00      0  21        1         0
#> 62    24.00      0  71        0         0
#> 28.2  24.00      0  67        1         0
#> 115.1 24.00      0  NA        1         0
#> 137.1 24.00      0  45        1         0
#> 53    24.00      0  32        0         1
#> 176   24.00      0  43        0         1
#> 17.2  24.00      0  38        0         1
#> 185.3 24.00      0  44        1         0
#> 162.1 24.00      0  51        0         0
#> 27.1  24.00      0  63        1         0
#> 83.1  24.00      0   6        0         0
#> 53.1  24.00      0  32        0         1
#> 38.1  24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 119.2 24.00      0  17        0         0
#> 152.3 24.00      0  36        0         1
#> 62.1  24.00      0  71        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.05          NA        NA      NA
#> 2 age, Cure model           0.0245        NA        NA      NA
#> 3 grade_ii, Cure model     -0.461         NA        NA      NA
#> 4 grade_iii, Cure model     0.752         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0165        NA        NA      NA
#> 2 grade_ii, Survival model    0.527         NA        NA      NA
#> 3 grade_iii, Survival model   0.150         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.05294           0.02455          -0.46092           0.75175  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258 
#> Residual Deviance: 242.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.05293960       0.02454841      -0.46091859       0.75175192 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01646933       0.52669717       0.15049551 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 6.712946e-01 7.297019e-01 1.224148e-01 1.511179e-01 3.503880e-02
#>   [6] 7.003130e-01 9.138292e-02 9.138292e-02 3.038328e-01 2.177514e-01
#>  [11] 5.449861e-01 9.662923e-01 8.210287e-01 4.698107e-02 2.463598e-02
#>  [16] 4.663506e-01 1.093273e-01 6.712946e-01 2.140303e-03 8.844736e-01
#>  [21] 4.411093e-01 4.636096e-03 3.926769e-01 8.525035e-01 7.526514e-02
#>  [26] 1.746966e-01 2.086399e-01 4.663506e-01 8.216580e-03 4.282969e-02
#>  [31] 7.003130e-01 9.332466e-01 1.552660e-02 3.694498e-01 1.057456e-02
#>  [36] 6.026024e-02 1.911085e-01 3.503880e-02 2.553620e-01 6.001793e-01
#>  [41] 2.270635e-01 7.596823e-01 2.720769e-05 9.332466e-01 1.847566e-02
#>  [46] 3.038328e-01 4.663506e-01 9.169331e-01 1.511179e-01 3.926769e-01
#>  [51] 1.093273e-01 8.210287e-01 4.636096e-03 5.719296e-04 2.270635e-01
#>  [56] 2.140303e-03 1.057456e-02 8.525035e-01 9.662923e-01 5.179282e-01
#>  [61] 6.998303e-02 5.725724e-01 2.553620e-01 9.006099e-01 4.287276e-01
#>  [66] 3.248807e-01 1.666483e-01 1.292986e-01 7.297019e-01 1.764973e-04
#>  [71] 7.526514e-02 9.138292e-02 5.725724e-01 7.526514e-02 2.270635e-01
#>  [76] 5.126387e-02 7.596823e-01 3.133112e-02 1.847566e-02 1.363857e-01
#>  [81] 5.126387e-02 2.553620e-01 5.719296e-04 3.248807e-01 5.587199e-01
#>  [86] 2.553620e-01 6.142409e-01 3.694498e-01 6.026024e-02 6.567724e-01
#>  [91] 4.663506e-01 4.536517e-01 3.248807e-01 1.746966e-01 5.179282e-01
#>  [96] 6.424490e-01 6.282327e-01 3.579191e-01 4.165357e-01 7.596823e-01
#> [101] 8.053545e-01 2.553620e-01 1.997737e-01 2.463598e-02 1.436189e-01
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>    49   159     8   110    90   107    58    55   188   130    60    91    61 
#> 12.19 10.55 18.43 17.56 20.94 11.18 19.34 19.34 16.16 16.47 13.15  5.33 10.12 
#>   128   153    13    76  49.1    92   101   180    15    29   145   170   111 
#> 20.35 21.33 14.34 19.22 12.19 22.92  9.97 14.82 22.68 15.45 10.07 19.54 17.45 
#>    23  13.1   169   190 107.1    77   197    39   194   158    30  90.1    85 
#> 16.92 14.34 22.41 20.81 11.18  7.27 21.60 15.59 22.40 20.14 17.43 20.94 16.44 
#>    14   181    10    24  77.1   139 188.1  13.2    70 110.1  29.1  76.1  61.1 
#> 12.89 16.46 10.53 23.89  7.27 21.49 16.16 14.34  7.38 17.56 15.45 19.22 10.12 
#>  15.1   164 181.1  92.1 194.1 145.1  91.1    81   105   123  85.1    16   157 
#> 22.68 23.60 16.46 22.92 22.40 10.07  5.33 14.06 19.75 13.00 16.44  8.71 15.10 
#>   100   117    88 159.1   168 170.1  55.1 123.1 170.2 181.2   150  10.1    99 
#> 16.07 17.46 18.37 10.55 23.72 19.54 19.34 13.00 19.54 16.46 20.33 10.53 21.19 
#> 139.1   108 150.1   192 164.1 100.1   155  85.2   154  39.1 158.1    56  13.3 
#> 21.49 18.29 20.33 16.44 23.60 16.07 13.08 16.44 12.63 15.59 20.14 12.21 14.34 
#>    57 100.2 111.1  81.1    37   177   125    18  10.2    52  85.3    45 153.1 
#> 14.46 16.07 17.45 14.06 12.52 12.53 15.65 15.21 10.53 10.42 16.44 17.42 21.33 
#>    51   112    98   193    95   120    83   162    11   121   152    28   173 
#> 18.23 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2   198  11.1   141   147  98.1 141.1    27 173.1    44     9   151    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 152.1   137    33   182    84   102   104   163   165    54 102.1   119   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185   138    35    17 185.1 185.2   146    75   161  28.1   116   122  84.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.1   156   178   131 138.1    12   126    20 104.1  17.1 156.1     7 152.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 122.1    38  75.1    62  28.2 137.1    53   176  17.2 185.3 162.1  27.1  83.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  53.1  38.1   172 119.2 152.3  62.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[81]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01870391                0.29832999                0.12015641 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.298857322             0.007884021            -0.023132468 
#>   grade_iii, Cure model 
#>             0.236294477 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 91     5.33      1  61        0         1
#> 8     18.43      1  32        0         0
#> 111   17.45      1  47        0         1
#> 6     15.64      1  39        0         0
#> 139   21.49      1  63        1         0
#> 159   10.55      1  50        0         1
#> 43    12.10      1  61        0         1
#> 181   16.46      1  45        0         1
#> 124    9.73      1  NA        1         0
#> 51    18.23      1  83        0         1
#> 145   10.07      1  65        1         0
#> 10    10.53      1  34        0         0
#> 145.1 10.07      1  65        1         0
#> 133   14.65      1  57        0         0
#> 99    21.19      1  38        0         1
#> 194   22.40      1  38        0         1
#> 159.1 10.55      1  50        0         1
#> 154   12.63      1  20        1         0
#> 89    11.44      1  NA        0         0
#> 16     8.71      1  71        0         1
#> 85    16.44      1  36        0         0
#> 15    22.68      1  48        0         0
#> 69    23.23      1  25        0         1
#> 43.1  12.10      1  61        0         1
#> 171   16.57      1  41        0         1
#> 189   10.51      1  NA        1         0
#> 37    12.52      1  57        1         0
#> 29    15.45      1  68        1         0
#> 145.2 10.07      1  65        1         0
#> 92    22.92      1  47        0         1
#> 43.2  12.10      1  61        0         1
#> 110   17.56      1  65        0         1
#> 124.1  9.73      1  NA        1         0
#> 89.1  11.44      1  NA        0         0
#> 155   13.08      1  26        0         0
#> 183    9.24      1  67        1         0
#> 134   17.81      1  47        1         0
#> 69.1  23.23      1  25        0         1
#> 32    20.90      1  37        1         0
#> 124.2  9.73      1  NA        1         0
#> 175   21.91      1  43        0         0
#> 26    15.77      1  49        0         1
#> 110.1 17.56      1  65        0         1
#> 187    9.92      1  39        1         0
#> 23    16.92      1  61        0         0
#> 189.1 10.51      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 155.1 13.08      1  26        0         0
#> 8.1   18.43      1  32        0         0
#> 77     7.27      1  67        0         1
#> 81    14.06      1  34        0         0
#> 199   19.81      1  NA        0         1
#> 189.2 10.51      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 10.1  10.53      1  34        0         0
#> 133.1 14.65      1  57        0         0
#> 199.1 19.81      1  NA        0         1
#> 184   17.77      1  38        0         0
#> 133.2 14.65      1  57        0         0
#> 123   13.00      1  44        1         0
#> 153   21.33      1  55        1         0
#> 134.1 17.81      1  47        1         0
#> 45    17.42      1  54        0         1
#> 195   11.76      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 158   20.14      1  74        1         0
#> 37.1  12.52      1  57        1         0
#> 15.1  22.68      1  48        0         0
#> 29.1  15.45      1  68        1         0
#> 167   15.55      1  56        1         0
#> 113   22.86      1  34        0         0
#> 91.1   5.33      1  61        0         1
#> 41    18.02      1  40        1         0
#> 192   16.44      1  31        1         0
#> 8.2   18.43      1  32        0         0
#> 23.1  16.92      1  61        0         0
#> 18    15.21      1  49        1         0
#> 150   20.33      1  48        0         0
#> 57    14.46      1  45        0         1
#> 114   13.68      1  NA        0         0
#> 13    14.34      1  54        0         1
#> 85.1  16.44      1  36        0         0
#> 177   12.53      1  75        0         0
#> 110.2 17.56      1  65        0         1
#> 77.1   7.27      1  67        0         1
#> 61    10.12      1  36        0         1
#> 157   15.10      1  47        0         0
#> 167.1 15.55      1  56        1         0
#> 133.3 14.65      1  57        0         0
#> 100   16.07      1  60        0         0
#> 58    19.34      1  39        0         0
#> 79    16.23      1  54        1         0
#> 50    10.02      1  NA        1         0
#> 63    22.77      1  31        1         0
#> 145.3 10.07      1  65        1         0
#> 6.1   15.64      1  39        0         0
#> 5     16.43      1  51        0         1
#> 10.2  10.53      1  34        0         0
#> 150.1 20.33      1  48        0         0
#> 110.3 17.56      1  65        0         1
#> 154.1 12.63      1  20        1         0
#> 179   18.63      1  42        0         0
#> 134.2 17.81      1  47        1         0
#> 117   17.46      1  26        0         1
#> 154.2 12.63      1  20        1         0
#> 70     7.38      1  30        1         0
#> 41.1  18.02      1  40        1         0
#> 39    15.59      1  37        0         1
#> 57.1  14.46      1  45        0         1
#> 124.3  9.73      1  NA        1         0
#> 125.1 15.65      1  67        1         0
#> 195.1 11.76      1  NA        1         0
#> 104   24.00      0  50        1         0
#> 95    24.00      0  68        0         1
#> 62    24.00      0  71        0         0
#> 131   24.00      0  66        0         0
#> 118   24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 131.1 24.00      0  66        0         0
#> 48    24.00      0  31        1         0
#> 3     24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 27    24.00      0  63        1         0
#> 116   24.00      0  58        0         1
#> 64    24.00      0  43        0         0
#> 20    24.00      0  46        1         0
#> 173   24.00      0  19        0         1
#> 151   24.00      0  42        0         0
#> 28    24.00      0  67        1         0
#> 47    24.00      0  38        0         1
#> 141   24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 72    24.00      0  40        0         1
#> 115   24.00      0  NA        1         0
#> 84    24.00      0  39        0         1
#> 160   24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 172   24.00      0  41        0         0
#> 151.1 24.00      0  42        0         0
#> 94    24.00      0  51        0         1
#> 163   24.00      0  66        0         0
#> 173.1 24.00      0  19        0         1
#> 178   24.00      0  52        1         0
#> 121   24.00      0  57        1         0
#> 174   24.00      0  49        1         0
#> 173.2 24.00      0  19        0         1
#> 83    24.00      0   6        0         0
#> 131.2 24.00      0  66        0         0
#> 102   24.00      0  49        0         0
#> 80    24.00      0  41        0         0
#> 103   24.00      0  56        1         0
#> 11    24.00      0  42        0         1
#> 191   24.00      0  60        0         1
#> 115.1 24.00      0  NA        1         0
#> 118.1 24.00      0  44        1         0
#> 174.1 24.00      0  49        1         0
#> 20.1  24.00      0  46        1         0
#> 165   24.00      0  47        0         0
#> 146   24.00      0  63        1         0
#> 121.1 24.00      0  57        1         0
#> 80.1  24.00      0  41        0         0
#> 161   24.00      0  45        0         0
#> 35    24.00      0  51        0         0
#> 163.1 24.00      0  66        0         0
#> 9     24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 147   24.00      0  76        1         0
#> 31    24.00      0  36        0         1
#> 137   24.00      0  45        1         0
#> 116.1 24.00      0  58        0         1
#> 98    24.00      0  34        1         0
#> 152   24.00      0  36        0         1
#> 132   24.00      0  55        0         0
#> 1     24.00      0  23        1         0
#> 87    24.00      0  27        0         0
#> 94.1  24.00      0  51        0         1
#> 176   24.00      0  43        0         1
#> 142   24.00      0  53        0         0
#> 38    24.00      0  31        1         0
#> 186   24.00      0  45        1         0
#> 161.1 24.00      0  45        0         0
#> 112   24.00      0  61        0         0
#> 17    24.00      0  38        0         1
#> 102.1 24.00      0  49        0         0
#> 12    24.00      0  63        0         0
#> 72.1  24.00      0  40        0         1
#> 182   24.00      0  35        0         0
#> 87.1  24.00      0  27        0         0
#> 109.1 24.00      0  48        0         0
#> 73.1  24.00      0  NA        0         1
#> 94.2  24.00      0  51        0         1
#> 65.1  24.00      0  57        1         0
#> 120.1 24.00      0  68        0         1
#> 148   24.00      0  61        1         0
#> 144   24.00      0  28        0         1
#> 20.2  24.00      0  46        1         0
#> 141.1 24.00      0  44        1         0
#> 193   24.00      0  45        0         1
#> 74    24.00      0  43        0         1
#> 143   24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.299          NA        NA      NA
#> 2 age, Cure model          0.00788        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0231         NA        NA      NA
#> 4 grade_iii, Cure model    0.236          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0187        NA        NA      NA
#> 2 grade_ii, Survival model    0.298         NA        NA      NA
#> 3 grade_iii, Survival model   0.120         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.298857          0.007884         -0.023132          0.236294  
#> 
#> Degrees of Freedom: 180 Total (i.e. Null);  177 Residual
#> Null Deviance:	    250 
#> Residual Deviance: 248.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.298857322      0.007884021     -0.023132468      0.236294477 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01870391       0.29832999       0.12015641 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.9931348 0.5781773 0.7049838 0.7987313 0.4463973 0.9331977 0.9210750
#>   [8] 0.7386146 0.6087610 0.9568930 0.9411676 0.9568930 0.8451880 0.4789386
#>  [15] 0.4060440 0.9331977 0.8953079 0.9789803 0.7450564 0.3627868 0.1925740
#>  [22] 0.9210750 0.7320808 0.9126958 0.8254638 0.9568930 0.2713049 0.9210750
#>  [29] 0.6694118 0.8819133 0.9753444 0.6365477 0.1925740 0.5066985 0.4268089
#>  [36] 0.7818161 0.6694118 0.9716574 0.7189042 0.7876721 0.8819133 0.5781773
#>  [43] 0.9861475 0.8773966 0.4789386 0.9411676 0.8451880 0.6611978 0.8451880
#>  [50] 0.8908663 0.4634571 0.6365477 0.7120153 0.1231084 0.5448492 0.9126958
#>  [57] 0.3627868 0.8254638 0.8150497 0.3049618 0.9931348 0.6184195 0.7450564
#>  [64] 0.5781773 0.7189042 0.8354006 0.5201421 0.8637082 0.8728591 0.7450564
#>  [71] 0.9083808 0.6694118 0.9861475 0.9529642 0.8403143 0.8150497 0.8451880
#>  [78] 0.7758792 0.5562056 0.7698466 0.3356176 0.9568930 0.7987313 0.7636837
#>  [85] 0.9411676 0.5201421 0.6694118 0.8953079 0.5673184 0.6365477 0.6978298
#>  [92] 0.8953079 0.9825728 0.6184195 0.8096285 0.8637082 0.7876721 0.0000000
#>  [99] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    91     8   111     6   139   159    43   181    51   145    10 145.1   133 
#>  5.33 18.43 17.45 15.64 21.49 10.55 12.10 16.46 18.23 10.07 10.53 10.07 14.65 
#>    99   194 159.1   154    16    85    15    69  43.1   171    37    29 145.2 
#> 21.19 22.40 10.55 12.63  8.71 16.44 22.68 23.23 12.10 16.57 12.52 15.45 10.07 
#>    92  43.2   110   155   183   134  69.1    32   175    26 110.1   187    23 
#> 22.92 12.10 17.56 13.08  9.24 17.81 23.23 20.90 21.91 15.77 17.56  9.92 16.92 
#>   125 155.1   8.1    77    81    36  10.1 133.1   184 133.2   123   153 134.1 
#> 15.65 13.08 18.43  7.27 14.06 21.19 10.53 14.65 17.77 14.65 13.00 21.33 17.81 
#>    45    78   158  37.1  15.1  29.1   167   113  91.1    41   192   8.2  23.1 
#> 17.42 23.88 20.14 12.52 22.68 15.45 15.55 22.86  5.33 18.02 16.44 18.43 16.92 
#>    18   150    57    13  85.1   177 110.2  77.1    61   157 167.1 133.3   100 
#> 15.21 20.33 14.46 14.34 16.44 12.53 17.56  7.27 10.12 15.10 15.55 14.65 16.07 
#>    58    79    63 145.3   6.1     5  10.2 150.1 110.3 154.1   179 134.2   117 
#> 19.34 16.23 22.77 10.07 15.64 16.43 10.53 20.33 17.56 12.63 18.63 17.81 17.46 
#> 154.2    70  41.1    39  57.1 125.1   104    95    62   131   118 131.1    48 
#> 12.63  7.38 18.02 15.59 14.46 15.65 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3   120    27   116    64    20   173   151    28    47   141    71    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84   160    65   172 151.1    94   163 173.1   178   121   174 173.2    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.2   102    80   103    11   191 118.1 174.1  20.1   165   146 121.1  80.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161    35 163.1     9   109   147    31   137 116.1    98   152   132     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87  94.1   176   142    38   186 161.1   112    17 102.1    12  72.1   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.1 109.1  94.2  65.1 120.1   148   144  20.2 141.1   193    74   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[82]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01021239                0.76387035                0.53878395 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.34963160              0.02538893             -0.01566328 
#>   grade_iii, Cure model 
#>              0.99992758 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 158   20.14      1  74        1         0
#> 78    23.88      1  43        0         0
#> 10    10.53      1  34        0         0
#> 66    22.13      1  53        0         0
#> 189   10.51      1  NA        1         0
#> 155   13.08      1  26        0         0
#> 150   20.33      1  48        0         0
#> 51    18.23      1  83        0         1
#> 197   21.60      1  69        1         0
#> 16     8.71      1  71        0         1
#> 13    14.34      1  54        0         1
#> 30    17.43      1  78        0         0
#> 136   21.83      1  43        0         1
#> 16.1   8.71      1  71        0         1
#> 117   17.46      1  26        0         1
#> 136.1 21.83      1  43        0         1
#> 181   16.46      1  45        0         1
#> 91     5.33      1  61        0         1
#> 26    15.77      1  49        0         1
#> 166   19.98      1  48        0         0
#> 86    23.81      1  58        0         1
#> 181.1 16.46      1  45        0         1
#> 170   19.54      1  43        0         1
#> 88    18.37      1  47        0         0
#> 168   23.72      1  70        0         0
#> 170.1 19.54      1  43        0         1
#> 89    11.44      1  NA        0         0
#> 88.1  18.37      1  47        0         0
#> 78.1  23.88      1  43        0         0
#> 128   20.35      1  35        0         1
#> 100   16.07      1  60        0         0
#> 90    20.94      1  50        0         1
#> 180   14.82      1  37        0         0
#> 32    20.90      1  37        1         0
#> 154   12.63      1  20        1         0
#> 194   22.40      1  38        0         1
#> 113   22.86      1  34        0         0
#> 108   18.29      1  39        0         1
#> 8     18.43      1  32        0         0
#> 6     15.64      1  39        0         0
#> 129   23.41      1  53        1         0
#> 111   17.45      1  47        0         1
#> 136.2 21.83      1  43        0         1
#> 177   12.53      1  75        0         0
#> 69    23.23      1  25        0         1
#> 187    9.92      1  39        1         0
#> 170.2 19.54      1  43        0         1
#> 150.1 20.33      1  48        0         0
#> 159   10.55      1  50        0         1
#> 88.2  18.37      1  47        0         0
#> 51.1  18.23      1  83        0         1
#> 36    21.19      1  48        0         1
#> 100.1 16.07      1  60        0         0
#> 60    13.15      1  38        1         0
#> 40    18.00      1  28        1         0
#> 139   21.49      1  63        1         0
#> 140   12.68      1  59        1         0
#> 110   17.56      1  65        0         1
#> 5     16.43      1  51        0         1
#> 16.2   8.71      1  71        0         1
#> 189.1 10.51      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 145   10.07      1  65        1         0
#> 77     7.27      1  67        0         1
#> 183    9.24      1  67        1         0
#> 110.1 17.56      1  65        0         1
#> 78.2  23.88      1  43        0         0
#> 4     17.64      1  NA        0         1
#> 56    12.21      1  60        0         0
#> 170.3 19.54      1  43        0         1
#> 77.1   7.27      1  67        0         1
#> 136.3 21.83      1  43        0         1
#> 10.1  10.53      1  34        0         0
#> 101    9.97      1  10        0         1
#> 108.1 18.29      1  39        0         1
#> 113.1 22.86      1  34        0         0
#> 5.1   16.43      1  51        0         1
#> 90.1  20.94      1  50        0         1
#> 170.4 19.54      1  43        0         1
#> 145.1 10.07      1  65        1         0
#> 59    10.16      1  NA        1         0
#> 150.2 20.33      1  48        0         0
#> 168.1 23.72      1  70        0         0
#> 166.1 19.98      1  48        0         0
#> 30.1  17.43      1  78        0         0
#> 55    19.34      1  69        0         1
#> 194.1 22.40      1  38        0         1
#> 184   17.77      1  38        0         0
#> 150.3 20.33      1  48        0         0
#> 91.1   5.33      1  61        0         1
#> 133   14.65      1  57        0         0
#> 78.3  23.88      1  43        0         0
#> 92    22.92      1  47        0         1
#> 183.1  9.24      1  67        1         0
#> 77.2   7.27      1  67        0         1
#> 124    9.73      1  NA        1         0
#> 68    20.62      1  44        0         0
#> 189.2 10.51      1  NA        1         0
#> 123   13.00      1  44        1         0
#> 76.1  19.22      1  54        0         1
#> 140.1 12.68      1  59        1         0
#> 57    14.46      1  45        0         1
#> 114   13.68      1  NA        0         0
#> 85    16.44      1  36        0         0
#> 140.2 12.68      1  59        1         0
#> 105   19.75      1  60        0         0
#> 134   17.81      1  47        1         0
#> 168.2 23.72      1  70        0         0
#> 40.1  18.00      1  28        1         0
#> 158.1 20.14      1  74        1         0
#> 113.2 22.86      1  34        0         0
#> 125   15.65      1  67        1         0
#> 62    24.00      0  71        0         0
#> 162   24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 160   24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 120   24.00      0  68        0         1
#> 196   24.00      0  19        0         0
#> 103   24.00      0  56        1         0
#> 44    24.00      0  56        0         0
#> 109   24.00      0  48        0         0
#> 95    24.00      0  68        0         1
#> 119   24.00      0  17        0         0
#> 102   24.00      0  49        0         0
#> 2     24.00      0   9        0         0
#> 119.1 24.00      0  17        0         0
#> 12    24.00      0  63        0         0
#> 54    24.00      0  53        1         0
#> 185   24.00      0  44        1         0
#> 67    24.00      0  25        0         0
#> 173   24.00      0  19        0         1
#> 84    24.00      0  39        0         1
#> 80    24.00      0  41        0         0
#> 12.1  24.00      0  63        0         0
#> 104   24.00      0  50        1         0
#> 102.1 24.00      0  49        0         0
#> 198   24.00      0  66        0         1
#> 151   24.00      0  42        0         0
#> 152   24.00      0  36        0         1
#> 138   24.00      0  44        1         0
#> 84.1  24.00      0  39        0         1
#> 3     24.00      0  31        1         0
#> 161.1 24.00      0  45        0         0
#> 185.1 24.00      0  44        1         0
#> 141   24.00      0  44        1         0
#> 94    24.00      0  51        0         1
#> 46    24.00      0  71        0         0
#> 102.2 24.00      0  49        0         0
#> 83    24.00      0   6        0         0
#> 165   24.00      0  47        0         0
#> 74    24.00      0  43        0         1
#> 82    24.00      0  34        0         0
#> 34    24.00      0  36        0         0
#> 176   24.00      0  43        0         1
#> 75    24.00      0  21        1         0
#> 67.1  24.00      0  25        0         0
#> 138.1 24.00      0  44        1         0
#> 64    24.00      0  43        0         0
#> 17    24.00      0  38        0         1
#> 80.1  24.00      0  41        0         0
#> 119.2 24.00      0  17        0         0
#> 19    24.00      0  57        0         1
#> 27    24.00      0  63        1         0
#> 172   24.00      0  41        0         0
#> 151.1 24.00      0  42        0         0
#> 185.2 24.00      0  44        1         0
#> 102.3 24.00      0  49        0         0
#> 73    24.00      0  NA        0         1
#> 28    24.00      0  67        1         0
#> 47    24.00      0  38        0         1
#> 94.1  24.00      0  51        0         1
#> 94.2  24.00      0  51        0         1
#> 44.1  24.00      0  56        0         0
#> 132   24.00      0  55        0         0
#> 80.2  24.00      0  41        0         0
#> 196.1 24.00      0  19        0         0
#> 80.3  24.00      0  41        0         0
#> 104.1 24.00      0  50        1         0
#> 162.1 24.00      0  51        0         0
#> 200   24.00      0  64        0         0
#> 178   24.00      0  52        1         0
#> 102.4 24.00      0  49        0         0
#> 54.1  24.00      0  53        1         0
#> 112   24.00      0  61        0         0
#> 11    24.00      0  42        0         1
#> 122   24.00      0  66        0         0
#> 174   24.00      0  49        1         0
#> 122.1 24.00      0  66        0         0
#> 126   24.00      0  48        0         0
#> 27.1  24.00      0  63        1         0
#> 84.2  24.00      0  39        0         1
#> 64.1  24.00      0  43        0         0
#> 115   24.00      0  NA        1         0
#> 198.1 24.00      0  66        0         1
#> 135   24.00      0  58        1         0
#> 141.1 24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 152.1 24.00      0  36        0         1
#> 161.2 24.00      0  45        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.35          NA        NA      NA
#> 2 age, Cure model           0.0254        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0157        NA        NA      NA
#> 4 grade_iii, Cure model     1.00          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0102        NA        NA      NA
#> 2 grade_ii, Survival model    0.764         NA        NA      NA
#> 3 grade_iii, Survival model   0.539         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.34963           0.02539          -0.01566           0.99993  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 245.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.34963160       0.02538893      -0.01566328       0.99992758 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01021239       0.76387035       0.53878395 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.6346411 0.1342702 0.9379088 0.4699347 0.8989642 0.6022591 0.7612213
#>   [8] 0.5276745 0.9703234 0.8897841 0.8163384 0.4835066 0.9703234 0.8057781
#>  [15] 0.4835066 0.8266432 0.9927361 0.8613650 0.6496583 0.2558137 0.8266432
#>  [22] 0.6718315 0.7305475 0.2848389 0.6718315 0.7305475 0.1342702 0.5936979
#>  [29] 0.8516195 0.5580465 0.8756892 0.5761350 0.9209127 0.4426249 0.3981824
#>  [36] 0.7491079 0.7242075 0.8709516 0.3459421 0.8110887 0.4835066 0.9251959
#>  [43] 0.3645124 0.9584773 0.6718315 0.6022591 0.9337003 0.7305475 0.7612213
#>  [50] 0.5483390 0.8516195 0.8943996 0.7727827 0.5383123 0.9080256 0.7951054
#>  [57] 0.8417788 0.9703234 0.7115402 0.9462758 0.9816831 0.9625025 0.7951054
#>  [64] 0.1342702 0.9294563 0.6718315 0.9816831 0.4835066 0.9379088 0.9544148
#>  [71] 0.7491079 0.3981824 0.8417788 0.5580465 0.6718315 0.9462758 0.6022591
#>  [78] 0.2848389 0.6496583 0.8163384 0.7049452 0.4426249 0.7895777 0.6022591
#>  [85] 0.9927361 0.8804149 0.1342702 0.3820028 0.9625025 0.9816831 0.5849538
#>  [92] 0.9035217 0.7115402 0.9080256 0.8851207 0.8367324 0.9080256 0.6644592
#>  [99] 0.7840315 0.2848389 0.7727827 0.6346411 0.3981824 0.8662015 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [190] 0.0000000
#> 
#> $Time
#>   158    78    10    66   155   150    51   197    16    13    30   136  16.1 
#> 20.14 23.88 10.53 22.13 13.08 20.33 18.23 21.60  8.71 14.34 17.43 21.83  8.71 
#>   117 136.1   181    91    26   166    86 181.1   170    88   168 170.1  88.1 
#> 17.46 21.83 16.46  5.33 15.77 19.98 23.81 16.46 19.54 18.37 23.72 19.54 18.37 
#>  78.1   128   100    90   180    32   154   194   113   108     8     6   129 
#> 23.88 20.35 16.07 20.94 14.82 20.90 12.63 22.40 22.86 18.29 18.43 15.64 23.41 
#>   111 136.2   177    69   187 170.2 150.1   159  88.2  51.1    36 100.1    60 
#> 17.45 21.83 12.53 23.23  9.92 19.54 20.33 10.55 18.37 18.23 21.19 16.07 13.15 
#>    40   139   140   110     5  16.2    76   145    77   183 110.1  78.2    56 
#> 18.00 21.49 12.68 17.56 16.43  8.71 19.22 10.07  7.27  9.24 17.56 23.88 12.21 
#> 170.3  77.1 136.3  10.1   101 108.1 113.1   5.1  90.1 170.4 145.1 150.2 168.1 
#> 19.54  7.27 21.83 10.53  9.97 18.29 22.86 16.43 20.94 19.54 10.07 20.33 23.72 
#> 166.1  30.1    55 194.1   184 150.3  91.1   133  78.3    92 183.1  77.2    68 
#> 19.98 17.43 19.34 22.40 17.77 20.33  5.33 14.65 23.88 22.92  9.24  7.27 20.62 
#>   123  76.1 140.1    57    85 140.2   105   134 168.2  40.1 158.1 113.2   125 
#> 13.00 19.22 12.68 14.46 16.44 12.68 19.75 17.81 23.72 18.00 20.14 22.86 15.65 
#>    62   162   118   160   161   120   196   103    44   109    95   119   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2 119.1    12    54   185    67   173    84    80  12.1   104 102.1   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151   152   138  84.1     3 161.1 185.1   141    94    46 102.2    83   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    74    82    34   176    75  67.1 138.1    64    17  80.1 119.2    19    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172 151.1 185.2 102.3    28    47  94.1  94.2  44.1   132  80.2 196.1  80.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 104.1 162.1   200   178 102.4  54.1   112    11   122   174 122.1   126  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  84.2  64.1 198.1   135 141.1    48 152.1 161.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[83]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003106953               0.760719238              -0.033552731 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.513059339             0.008298478             0.336093503 
#>   grade_iii, Cure model 
#>             0.595538350 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 26    15.77      1  49        0         1
#> 111   17.45      1  47        0         1
#> 149    8.37      1  33        1         0
#> 107   11.18      1  54        1         0
#> 157   15.10      1  47        0         0
#> 175   21.91      1  43        0         0
#> 58    19.34      1  39        0         0
#> 86    23.81      1  58        0         1
#> 39    15.59      1  37        0         1
#> 90    20.94      1  50        0         1
#> 128   20.35      1  35        0         1
#> 69    23.23      1  25        0         1
#> 79    16.23      1  54        1         0
#> 32    20.90      1  37        1         0
#> 188   16.16      1  46        0         1
#> 177   12.53      1  75        0         0
#> 16     8.71      1  71        0         1
#> 136   21.83      1  43        0         1
#> 155   13.08      1  26        0         0
#> 13    14.34      1  54        0         1
#> 101    9.97      1  10        0         1
#> 85    16.44      1  36        0         0
#> 96    14.54      1  33        0         1
#> 170   19.54      1  43        0         1
#> 171   16.57      1  41        0         1
#> 127    3.53      1  62        0         1
#> 30    17.43      1  78        0         0
#> 195   11.76      1  NA        1         0
#> 49    12.19      1  48        1         0
#> 13.1  14.34      1  54        0         1
#> 10    10.53      1  34        0         0
#> 181   16.46      1  45        0         1
#> 25     6.32      1  34        1         0
#> 89    11.44      1  NA        0         0
#> 153   21.33      1  55        1         0
#> 140   12.68      1  59        1         0
#> 15    22.68      1  48        0         0
#> 85.1  16.44      1  36        0         0
#> 59    10.16      1  NA        1         0
#> 199   19.81      1  NA        0         1
#> 145   10.07      1  65        1         0
#> 5     16.43      1  51        0         1
#> 5.1   16.43      1  51        0         1
#> 139   21.49      1  63        1         0
#> 41    18.02      1  40        1         0
#> 10.1  10.53      1  34        0         0
#> 195.1 11.76      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 30.1  17.43      1  78        0         0
#> 107.1 11.18      1  54        1         0
#> 69.1  23.23      1  25        0         1
#> 171.1 16.57      1  41        0         1
#> 188.1 16.16      1  46        0         1
#> 99    21.19      1  38        0         1
#> 45    17.42      1  54        0         1
#> 90.1  20.94      1  50        0         1
#> 81    14.06      1  34        0         0
#> 6     15.64      1  39        0         0
#> 92    22.92      1  47        0         1
#> 149.1  8.37      1  33        1         0
#> 70     7.38      1  30        1         0
#> 60    13.15      1  38        1         0
#> 164   23.60      1  76        0         1
#> 177.1 12.53      1  75        0         0
#> 107.2 11.18      1  54        1         0
#> 179   18.63      1  42        0         0
#> 57    14.46      1  45        0         1
#> 194   22.40      1  38        0         1
#> 108   18.29      1  39        0         1
#> 55    19.34      1  69        0         1
#> 175.1 21.91      1  43        0         0
#> 89.1  11.44      1  NA        0         0
#> 37    12.52      1  57        1         0
#> 130   16.47      1  53        0         1
#> 192   16.44      1  31        1         0
#> 13.2  14.34      1  54        0         1
#> 66    22.13      1  53        0         0
#> 190   20.81      1  42        1         0
#> 167   15.55      1  56        1         0
#> 130.1 16.47      1  53        0         1
#> 69.2  23.23      1  25        0         1
#> 150   20.33      1  48        0         0
#> 183    9.24      1  67        1         0
#> 187    9.92      1  39        1         0
#> 30.2  17.43      1  78        0         0
#> 30.3  17.43      1  78        0         0
#> 117   17.46      1  26        0         1
#> 97    19.14      1  65        0         1
#> 18    15.21      1  49        1         0
#> 140.1 12.68      1  59        1         0
#> 93    10.33      1  52        0         1
#> 197   21.60      1  69        1         0
#> 61    10.12      1  36        0         1
#> 154   12.63      1  20        1         0
#> 58.1  19.34      1  39        0         0
#> 179.1 18.63      1  42        0         0
#> 189   10.51      1  NA        1         0
#> 51    18.23      1  83        0         1
#> 181.1 16.46      1  45        0         1
#> 16.1   8.71      1  71        0         1
#> 101.1  9.97      1  10        0         1
#> 78    23.88      1  43        0         0
#> 60.1  13.15      1  38        1         0
#> 113   22.86      1  34        0         0
#> 92.1  22.92      1  47        0         1
#> 180   14.82      1  37        0         0
#> 158   20.14      1  74        1         0
#> 175.2 21.91      1  43        0         0
#> 81.1  14.06      1  34        0         0
#> 81.2  14.06      1  34        0         0
#> 90.2  20.94      1  50        0         1
#> 13.3  14.34      1  54        0         1
#> 200   24.00      0  64        0         0
#> 27    24.00      0  63        1         0
#> 21    24.00      0  47        0         0
#> 115   24.00      0  NA        1         0
#> 53    24.00      0  32        0         1
#> 176   24.00      0  43        0         1
#> 191   24.00      0  60        0         1
#> 62    24.00      0  71        0         0
#> 146   24.00      0  63        1         0
#> 122   24.00      0  66        0         0
#> 62.1  24.00      0  71        0         0
#> 147   24.00      0  76        1         0
#> 74    24.00      0  43        0         1
#> 148   24.00      0  61        1         0
#> 115.1 24.00      0  NA        1         0
#> 84    24.00      0  39        0         1
#> 144   24.00      0  28        0         1
#> 126   24.00      0  48        0         0
#> 137   24.00      0  45        1         0
#> 119   24.00      0  17        0         0
#> 141   24.00      0  44        1         0
#> 172   24.00      0  41        0         0
#> 186   24.00      0  45        1         0
#> 48    24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 104   24.00      0  50        1         0
#> 71    24.00      0  51        0         0
#> 94    24.00      0  51        0         1
#> 80    24.00      0  41        0         0
#> 138   24.00      0  44        1         0
#> 83    24.00      0   6        0         0
#> 87    24.00      0  27        0         0
#> 121   24.00      0  57        1         0
#> 2     24.00      0   9        0         0
#> 144.1 24.00      0  28        0         1
#> 173   24.00      0  19        0         1
#> 121.1 24.00      0  57        1         0
#> 198   24.00      0  66        0         1
#> 193   24.00      0  45        0         1
#> 53.1  24.00      0  32        0         1
#> 162   24.00      0  51        0         0
#> 200.1 24.00      0  64        0         0
#> 144.2 24.00      0  28        0         1
#> 74.1  24.00      0  43        0         1
#> 126.1 24.00      0  48        0         0
#> 165   24.00      0  47        0         0
#> 27.1  24.00      0  63        1         0
#> 162.1 24.00      0  51        0         0
#> 172.1 24.00      0  41        0         0
#> 112   24.00      0  61        0         0
#> 74.2  24.00      0  43        0         1
#> 200.2 24.00      0  64        0         0
#> 144.3 24.00      0  28        0         1
#> 156   24.00      0  50        1         0
#> 135   24.00      0  58        1         0
#> 27.2  24.00      0  63        1         0
#> 198.1 24.00      0  66        0         1
#> 12    24.00      0  63        0         0
#> 185   24.00      0  44        1         0
#> 34    24.00      0  36        0         0
#> 144.4 24.00      0  28        0         1
#> 64    24.00      0  43        0         0
#> 74.3  24.00      0  43        0         1
#> 132   24.00      0  55        0         0
#> 198.2 24.00      0  66        0         1
#> 80.1  24.00      0  41        0         0
#> 87.1  24.00      0  27        0         0
#> 121.2 24.00      0  57        1         0
#> 31    24.00      0  36        0         1
#> 19    24.00      0  57        0         1
#> 174   24.00      0  49        1         0
#> 2.1   24.00      0   9        0         0
#> 53.2  24.00      0  32        0         1
#> 118   24.00      0  44        1         0
#> 152   24.00      0  36        0         1
#> 72    24.00      0  40        0         1
#> 132.1 24.00      0  55        0         0
#> 80.2  24.00      0  41        0         0
#> 47    24.00      0  38        0         1
#> 142.1 24.00      0  53        0         0
#> 185.1 24.00      0  44        1         0
#> 173.1 24.00      0  19        0         1
#> 161   24.00      0  45        0         0
#> 74.4  24.00      0  43        0         1
#> 27.3  24.00      0  63        1         0
#> 74.5  24.00      0  43        0         1
#> 102   24.00      0  49        0         0
#> 176.1 24.00      0  43        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.513          NA        NA      NA
#> 2 age, Cure model          0.00830        NA        NA      NA
#> 3 grade_ii, Cure model     0.336          NA        NA      NA
#> 4 grade_iii, Cure model    0.596          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00311        NA        NA      NA
#> 2 grade_ii, Survival model   0.761          NA        NA      NA
#> 3 grade_iii, Survival model -0.0336         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.513059          0.008298          0.336094          0.595538  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 259.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.513059339      0.008298478      0.336093503      0.595538350 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003106953      0.760719238     -0.033552731 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.585484728 0.382858789 0.957181923 0.833397029 0.634236053 0.119319176
#>   [7] 0.288803024 0.011584718 0.605096927 0.202905367 0.251196054 0.031590544
#>  [13] 0.556391716 0.232019930 0.566109410 0.796485839 0.939671741 0.150573135
#>  [19] 0.758982367 0.672774097 0.904383647 0.507993420 0.653468022 0.279467980
#>  [25] 0.449286629 0.991479288 0.392369471 0.824249254 0.672774097 0.859843275
#>  [31] 0.488291949 0.982973374 0.183079244 0.768552181 0.086618653 0.507993420
#>  [37] 0.895496845 0.536852314 0.536852314 0.172754639 0.363940703 0.859843275
#>  [43] 0.439527928 0.392369471 0.833397029 0.031590544 0.449286629 0.566109410
#>  [49] 0.192956435 0.429806500 0.202905367 0.710998422 0.595281608 0.056691087
#>  [55] 0.957181923 0.974398805 0.739981878 0.020989983 0.796485839 0.833397029
#>  [61] 0.325803936 0.663109875 0.097348749 0.344668249 0.288803024 0.119319176
#>  [67] 0.815015050 0.468716285 0.507993420 0.672774097 0.108248934 0.241774825
#>  [73] 0.614934270 0.468716285 0.031590544 0.260664421 0.930912288 0.922091609
#>  [79] 0.392369471 0.392369471 0.373386796 0.316299623 0.624647605 0.768552181
#>  [85] 0.877602449 0.161939534 0.886543537 0.787211834 0.288803024 0.325803936
#>  [91] 0.354271339 0.488291949 0.939671741 0.904383647 0.003694157 0.739981878
#>  [97] 0.076071005 0.056691087 0.643844238 0.270180712 0.119319176 0.710998422
#> [103] 0.710998422 0.202905367 0.672774097 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    26   111   149   107   157   175    58    86    39    90   128    69    79 
#> 15.77 17.45  8.37 11.18 15.10 21.91 19.34 23.81 15.59 20.94 20.35 23.23 16.23 
#>    32   188   177    16   136   155    13   101    85    96   170   171   127 
#> 20.90 16.16 12.53  8.71 21.83 13.08 14.34  9.97 16.44 14.54 19.54 16.57  3.53 
#>    30    49  13.1    10   181    25   153   140    15  85.1   145     5   5.1 
#> 17.43 12.19 14.34 10.53 16.46  6.32 21.33 12.68 22.68 16.44 10.07 16.43 16.43 
#>   139    41  10.1    23  30.1 107.1  69.1 171.1 188.1    99    45  90.1    81 
#> 21.49 18.02 10.53 16.92 17.43 11.18 23.23 16.57 16.16 21.19 17.42 20.94 14.06 
#>     6    92 149.1    70    60   164 177.1 107.2   179    57   194   108    55 
#> 15.64 22.92  8.37  7.38 13.15 23.60 12.53 11.18 18.63 14.46 22.40 18.29 19.34 
#> 175.1    37   130   192  13.2    66   190   167 130.1  69.2   150   183   187 
#> 21.91 12.52 16.47 16.44 14.34 22.13 20.81 15.55 16.47 23.23 20.33  9.24  9.92 
#>  30.2  30.3   117    97    18 140.1    93   197    61   154  58.1 179.1    51 
#> 17.43 17.43 17.46 19.14 15.21 12.68 10.33 21.60 10.12 12.63 19.34 18.63 18.23 
#> 181.1  16.1 101.1    78  60.1   113  92.1   180   158 175.2  81.1  81.2  90.2 
#> 16.46  8.71  9.97 23.88 13.15 22.86 22.92 14.82 20.14 21.91 14.06 14.06 20.94 
#>  13.3   200    27    21    53   176   191    62   146   122  62.1   147    74 
#> 14.34 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148    84   144   126   137   119   141   172   186    48   142   104    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94    80   138    83    87   121     2 144.1   173 121.1   198   193  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162 200.1 144.2  74.1 126.1   165  27.1 162.1 172.1   112  74.2 200.2 144.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156   135  27.2 198.1    12   185    34 144.4    64  74.3   132 198.2  80.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.1 121.2    31    19   174   2.1  53.2   118   152    72 132.1  80.2    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 142.1 185.1 173.1   161  74.4  27.3  74.5   102 176.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[84]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.006669838               0.371673971               0.205087605 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.77580776              0.01001545              0.66069703 
#>   grade_iii, Cure model 
#>              0.92030002 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 129   23.41      1  53        1         0
#> 183    9.24      1  67        1         0
#> 125   15.65      1  67        1         0
#> 32    20.90      1  37        1         0
#> 145   10.07      1  65        1         0
#> 183.1  9.24      1  67        1         0
#> 180   14.82      1  37        0         0
#> 97    19.14      1  65        0         1
#> 125.1 15.65      1  67        1         0
#> 111   17.45      1  47        0         1
#> 25     6.32      1  34        1         0
#> 30    17.43      1  78        0         0
#> 30.1  17.43      1  78        0         0
#> 68    20.62      1  44        0         0
#> 43    12.10      1  61        0         1
#> 60    13.15      1  38        1         0
#> 192   16.44      1  31        1         0
#> 167   15.55      1  56        1         0
#> 92    22.92      1  47        0         1
#> 55    19.34      1  69        0         1
#> 114   13.68      1  NA        0         0
#> 40    18.00      1  28        1         0
#> 130   16.47      1  53        0         1
#> 133   14.65      1  57        0         0
#> 166   19.98      1  48        0         0
#> 30.2  17.43      1  78        0         0
#> 66    22.13      1  53        0         0
#> 159   10.55      1  50        0         1
#> 49    12.19      1  48        1         0
#> 66.1  22.13      1  53        0         0
#> 194   22.40      1  38        0         1
#> 184   17.77      1  38        0         0
#> 52    10.42      1  52        0         1
#> 177   12.53      1  75        0         0
#> 43.1  12.10      1  61        0         1
#> 149    8.37      1  33        1         0
#> 50    10.02      1  NA        1         0
#> 63    22.77      1  31        1         0
#> 175   21.91      1  43        0         0
#> 105   19.75      1  60        0         0
#> 59    10.16      1  NA        1         0
#> 51    18.23      1  83        0         1
#> 14    12.89      1  21        0         0
#> 96    14.54      1  33        0         1
#> 167.1 15.55      1  56        1         0
#> 108   18.29      1  39        0         1
#> 110   17.56      1  65        0         1
#> 139   21.49      1  63        1         0
#> 23    16.92      1  61        0         0
#> 76    19.22      1  54        0         1
#> 81    14.06      1  34        0         0
#> 61    10.12      1  36        0         1
#> 192.1 16.44      1  31        1         0
#> 25.1   6.32      1  34        1         0
#> 14.1  12.89      1  21        0         0
#> 56    12.21      1  60        0         0
#> 188   16.16      1  46        0         1
#> 139.1 21.49      1  63        1         0
#> 166.1 19.98      1  48        0         0
#> 37    12.52      1  57        1         0
#> 139.2 21.49      1  63        1         0
#> 97.1  19.14      1  65        0         1
#> 187    9.92      1  39        1         0
#> 61.1  10.12      1  36        0         1
#> 78    23.88      1  43        0         0
#> 18    15.21      1  49        1         0
#> 52.1  10.42      1  52        0         1
#> 149.1  8.37      1  33        1         0
#> 24    23.89      1  38        0         0
#> 150   20.33      1  48        0         0
#> 187.1  9.92      1  39        1         0
#> 107   11.18      1  54        1         0
#> 70     7.38      1  30        1         0
#> 190   20.81      1  42        1         0
#> 108.1 18.29      1  39        0         1
#> 181   16.46      1  45        0         1
#> 111.1 17.45      1  47        0         1
#> 5     16.43      1  51        0         1
#> 51.1  18.23      1  83        0         1
#> 108.2 18.29      1  39        0         1
#> 190.1 20.81      1  42        1         0
#> 189   10.51      1  NA        1         0
#> 125.2 15.65      1  67        1         0
#> 123   13.00      1  44        1         0
#> 32.1  20.90      1  37        1         0
#> 85    16.44      1  36        0         0
#> 10    10.53      1  34        0         0
#> 110.1 17.56      1  65        0         1
#> 29    15.45      1  68        1         0
#> 32.2  20.90      1  37        1         0
#> 136   21.83      1  43        0         1
#> 134   17.81      1  47        1         0
#> 107.1 11.18      1  54        1         0
#> 61.2  10.12      1  36        0         1
#> 117   17.46      1  26        0         1
#> 79    16.23      1  54        1         0
#> 49.1  12.19      1  48        1         0
#> 42    12.43      1  49        0         1
#> 90    20.94      1  50        0         1
#> 8     18.43      1  32        0         0
#> 134.1 17.81      1  47        1         0
#> 56.1  12.21      1  60        0         0
#> 189.1 10.51      1  NA        1         0
#> 68.1  20.62      1  44        0         0
#> 139.3 21.49      1  63        1         0
#> 92.1  22.92      1  47        0         1
#> 63.1  22.77      1  31        1         0
#> 167.2 15.55      1  56        1         0
#> 177.1 12.53      1  75        0         0
#> 107.2 11.18      1  54        1         0
#> 128   20.35      1  35        0         1
#> 125.3 15.65      1  67        1         0
#> 1     24.00      0  23        1         0
#> 87    24.00      0  27        0         0
#> 173   24.00      0  19        0         1
#> 27    24.00      0  63        1         0
#> 48    24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 87.1  24.00      0  27        0         0
#> 2     24.00      0   9        0         0
#> 34    24.00      0  36        0         0
#> 1.1   24.00      0  23        1         0
#> 9     24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 103   24.00      0  56        1         0
#> 163   24.00      0  66        0         0
#> 22    24.00      0  52        1         0
#> 83    24.00      0   6        0         0
#> 163.1 24.00      0  66        0         0
#> 131   24.00      0  66        0         0
#> 31    24.00      0  36        0         1
#> 141   24.00      0  44        1         0
#> 82    24.00      0  34        0         0
#> 82.1  24.00      0  34        0         0
#> 27.1  24.00      0  63        1         0
#> 152   24.00      0  36        0         1
#> 102   24.00      0  49        0         0
#> 27.2  24.00      0  63        1         0
#> 143   24.00      0  51        0         0
#> 48.1  24.00      0  31        1         0
#> 102.1 24.00      0  49        0         0
#> 156   24.00      0  50        1         0
#> 115   24.00      0  NA        1         0
#> 34.1  24.00      0  36        0         0
#> 186   24.00      0  45        1         0
#> 34.2  24.00      0  36        0         0
#> 147   24.00      0  76        1         0
#> 44    24.00      0  56        0         0
#> 132   24.00      0  55        0         0
#> 198   24.00      0  66        0         1
#> 163.2 24.00      0  66        0         0
#> 104   24.00      0  50        1         0
#> 146   24.00      0  63        1         0
#> 28    24.00      0  67        1         0
#> 2.1   24.00      0   9        0         0
#> 146.1 24.00      0  63        1         0
#> 142   24.00      0  53        0         0
#> 143.1 24.00      0  51        0         0
#> 121   24.00      0  57        1         0
#> 174   24.00      0  49        1         0
#> 147.1 24.00      0  76        1         0
#> 1.2   24.00      0  23        1         0
#> 142.1 24.00      0  53        0         0
#> 191   24.00      0  60        0         1
#> 47    24.00      0  38        0         1
#> 1.3   24.00      0  23        1         0
#> 185   24.00      0  44        1         0
#> 120   24.00      0  68        0         1
#> 186.1 24.00      0  45        1         0
#> 34.3  24.00      0  36        0         0
#> 47.1  24.00      0  38        0         1
#> 198.1 24.00      0  66        0         1
#> 146.2 24.00      0  63        1         0
#> 102.2 24.00      0  49        0         0
#> 12    24.00      0  63        0         0
#> 147.2 24.00      0  76        1         0
#> 64    24.00      0  43        0         0
#> 21    24.00      0  47        0         0
#> 12.1  24.00      0  63        0         0
#> 7     24.00      0  37        1         0
#> 82.2  24.00      0  34        0         0
#> 11    24.00      0  42        0         1
#> 200   24.00      0  64        0         0
#> 151   24.00      0  42        0         0
#> 191.1 24.00      0  60        0         1
#> 44.1  24.00      0  56        0         0
#> 71    24.00      0  51        0         0
#> 74    24.00      0  43        0         1
#> 48.2  24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 31.1  24.00      0  36        0         1
#> 83.1  24.00      0   6        0         0
#> 142.2 24.00      0  53        0         0
#> 84    24.00      0  39        0         1
#> 27.3  24.00      0  63        1         0
#> 191.2 24.00      0  60        0         1
#> 120.1 24.00      0  68        0         1
#> 200.1 24.00      0  64        0         0
#> 72    24.00      0  40        0         1
#> 200.2 24.00      0  64        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.776         NA        NA      NA
#> 2 age, Cure model           0.0100        NA        NA      NA
#> 3 grade_ii, Cure model      0.661         NA        NA      NA
#> 4 grade_iii, Cure model     0.920         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00667        NA        NA      NA
#> 2 grade_ii, Survival model   0.372          NA        NA      NA
#> 3 grade_iii, Survival model  0.205          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.77581           0.01002           0.66070           0.92030  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.9 
#> Residual Deviance: 258.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.77580776       0.01001545       0.66069703       0.92030002 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.006669838      0.371673971      0.205087605 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.11548747 0.96262971 0.72164480 0.35481042 0.94614391 0.96262971
#>   [7] 0.78005022 0.49445065 0.72164480 0.61950301 0.98944607 0.63475985
#>  [13] 0.63475985 0.40680723 0.87810891 0.80529471 0.67911896 0.74799376
#>  [19] 0.14296163 0.47566167 0.56369443 0.66440799 0.78639549 0.44673212
#>  [25] 0.63475985 0.23491378 0.90684705 0.86631405 0.23491378 0.21776624
#>  [31] 0.58804483 0.91824246 0.83004559 0.87810891 0.97341677 0.18331002
#>  [37] 0.26610647 0.46601673 0.54701687 0.81773010 0.79271716 0.74799376
#>  [43] 0.52130928 0.59608924 0.29709810 0.65696416 0.48512528 0.79901224
#>  [49] 0.92949111 0.67911896 0.98944607 0.81773010 0.85435684 0.71463663
#>  [55] 0.29709810 0.44673212 0.84224362 0.29709810 0.49445065 0.95168727
#>  [61] 0.92949111 0.07885213 0.77369047 0.91824246 0.97341677 0.03628697
#>  [67] 0.43682028 0.95168727 0.88977155 0.98410819 0.38645025 0.52130928
#>  [73] 0.67178994 0.61950301 0.70045110 0.54701687 0.52130928 0.38645025
#>  [79] 0.72164480 0.81153491 0.35481042 0.67911896 0.91254928 0.59608924
#>  [85] 0.76727744 0.35481042 0.28187267 0.57200320 0.88977155 0.92949111
#>  [91] 0.61169556 0.70758222 0.86631405 0.84831541 0.34300521 0.51232856
#>  [97] 0.57200320 0.85435684 0.40680723 0.29709810 0.14296163 0.18331002
#> [103] 0.74799376 0.83004559 0.88977155 0.42682286 0.72164480 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000 0.00000000
#> 
#> $Time
#>   129   183   125    32   145 183.1   180    97 125.1   111    25    30  30.1 
#> 23.41  9.24 15.65 20.90 10.07  9.24 14.82 19.14 15.65 17.45  6.32 17.43 17.43 
#>    68    43    60   192   167    92    55    40   130   133   166  30.2    66 
#> 20.62 12.10 13.15 16.44 15.55 22.92 19.34 18.00 16.47 14.65 19.98 17.43 22.13 
#>   159    49  66.1   194   184    52   177  43.1   149    63   175   105    51 
#> 10.55 12.19 22.13 22.40 17.77 10.42 12.53 12.10  8.37 22.77 21.91 19.75 18.23 
#>    14    96 167.1   108   110   139    23    76    81    61 192.1  25.1  14.1 
#> 12.89 14.54 15.55 18.29 17.56 21.49 16.92 19.22 14.06 10.12 16.44  6.32 12.89 
#>    56   188 139.1 166.1    37 139.2  97.1   187  61.1    78    18  52.1 149.1 
#> 12.21 16.16 21.49 19.98 12.52 21.49 19.14  9.92 10.12 23.88 15.21 10.42  8.37 
#>    24   150 187.1   107    70   190 108.1   181 111.1     5  51.1 108.2 190.1 
#> 23.89 20.33  9.92 11.18  7.38 20.81 18.29 16.46 17.45 16.43 18.23 18.29 20.81 
#> 125.2   123  32.1    85    10 110.1    29  32.2   136   134 107.1  61.2   117 
#> 15.65 13.00 20.90 16.44 10.53 17.56 15.45 20.90 21.83 17.81 11.18 10.12 17.46 
#>    79  49.1    42    90     8 134.1  56.1  68.1 139.3  92.1  63.1 167.2 177.1 
#> 16.23 12.19 12.43 20.94 18.43 17.81 12.21 20.62 21.49 22.92 22.77 15.55 12.53 
#> 107.2   128 125.3     1    87   173    27    48   138  87.1     2    34   1.1 
#> 11.18 20.35 15.65 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9   193   103   163    22    83 163.1   131    31   141    82  82.1  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152   102  27.2   143  48.1 102.1   156  34.1   186  34.2   147    44   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198 163.2   104   146    28   2.1 146.1   142 143.1   121   174 147.1   1.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 142.1   191    47   1.3   185   120 186.1  34.3  47.1 198.1 146.2 102.2    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 147.2    64    21  12.1     7  82.2    11   200   151 191.1  44.1    71    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  48.2   119  31.1  83.1 142.2    84  27.3 191.2 120.1 200.1    72 200.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[85]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003631626               0.774761293               0.443750974 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.123929467            -0.002177972            -0.048470373 
#>   grade_iii, Cure model 
#>             0.606849003 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 24    23.89      1  38        0         0
#> 92    22.92      1  47        0         1
#> 105   19.75      1  60        0         0
#> 41    18.02      1  40        1         0
#> 101    9.97      1  10        0         1
#> 51    18.23      1  83        0         1
#> 8     18.43      1  32        0         0
#> 18    15.21      1  49        1         0
#> 159   10.55      1  50        0         1
#> 157   15.10      1  47        0         0
#> 107   11.18      1  54        1         0
#> 42    12.43      1  49        0         1
#> 76    19.22      1  54        0         1
#> 169   22.41      1  46        0         0
#> 158   20.14      1  74        1         0
#> 114   13.68      1  NA        0         0
#> 113   22.86      1  34        0         0
#> 78    23.88      1  43        0         0
#> 52    10.42      1  52        0         1
#> 85    16.44      1  36        0         0
#> 8.1   18.43      1  32        0         0
#> 42.1  12.43      1  49        0         1
#> 157.1 15.10      1  47        0         0
#> 188   16.16      1  46        0         1
#> 49    12.19      1  48        1         0
#> 136   21.83      1  43        0         1
#> 78.1  23.88      1  43        0         0
#> 85.1  16.44      1  36        0         0
#> 41.1  18.02      1  40        1         0
#> 184   17.77      1  38        0         0
#> 183    9.24      1  67        1         0
#> 14    12.89      1  21        0         0
#> 159.1 10.55      1  50        0         1
#> 117   17.46      1  26        0         1
#> 51.1  18.23      1  83        0         1
#> 36    21.19      1  48        0         1
#> 179   18.63      1  42        0         0
#> 192   16.44      1  31        1         0
#> 89    11.44      1  NA        0         0
#> 97    19.14      1  65        0         1
#> 8.2   18.43      1  32        0         0
#> 108   18.29      1  39        0         1
#> 140   12.68      1  59        1         0
#> 159.2 10.55      1  50        0         1
#> 124    9.73      1  NA        1         0
#> 124.1  9.73      1  NA        1         0
#> 5     16.43      1  51        0         1
#> 107.1 11.18      1  54        1         0
#> 181   16.46      1  45        0         1
#> 170   19.54      1  43        0         1
#> 60    13.15      1  38        1         0
#> 63    22.77      1  31        1         0
#> 189   10.51      1  NA        1         0
#> 60.1  13.15      1  38        1         0
#> 63.1  22.77      1  31        1         0
#> 170.1 19.54      1  43        0         1
#> 30    17.43      1  78        0         0
#> 179.1 18.63      1  42        0         0
#> 194   22.40      1  38        0         1
#> 140.1 12.68      1  59        1         0
#> 55    19.34      1  69        0         1
#> 99    21.19      1  38        0         1
#> 56    12.21      1  60        0         0
#> 76.1  19.22      1  54        0         1
#> 76.2  19.22      1  54        0         1
#> 85.2  16.44      1  36        0         0
#> 157.2 15.10      1  47        0         0
#> 24.1  23.89      1  38        0         0
#> 37    12.52      1  57        1         0
#> 55.1  19.34      1  69        0         1
#> 49.1  12.19      1  48        1         0
#> 26    15.77      1  49        0         1
#> 110   17.56      1  65        0         1
#> 199   19.81      1  NA        0         1
#> 169.1 22.41      1  46        0         0
#> 128   20.35      1  35        0         1
#> 77     7.27      1  67        0         1
#> 45    17.42      1  54        0         1
#> 127    3.53      1  62        0         1
#> 199.1 19.81      1  NA        0         1
#> 68    20.62      1  44        0         0
#> 56.1  12.21      1  60        0         0
#> 26.1  15.77      1  49        0         1
#> 24.2  23.89      1  38        0         0
#> 157.3 15.10      1  47        0         0
#> 70     7.38      1  30        1         0
#> 79    16.23      1  54        1         0
#> 96    14.54      1  33        0         1
#> 197   21.60      1  69        1         0
#> 164   23.60      1  76        0         1
#> 4     17.64      1  NA        0         1
#> 14.1  12.89      1  21        0         0
#> 60.2  13.15      1  38        1         0
#> 139   21.49      1  63        1         0
#> 107.2 11.18      1  54        1         0
#> 69    23.23      1  25        0         1
#> 113.1 22.86      1  34        0         0
#> 43    12.10      1  61        0         1
#> 36.1  21.19      1  48        0         1
#> 25     6.32      1  34        1         0
#> 183.1  9.24      1  67        1         0
#> 18.1  15.21      1  49        1         0
#> 24.3  23.89      1  38        0         0
#> 192.1 16.44      1  31        1         0
#> 153   21.33      1  55        1         0
#> 96.1  14.54      1  33        0         1
#> 10    10.53      1  34        0         0
#> 92.1  22.92      1  47        0         1
#> 145   10.07      1  65        1         0
#> 85.3  16.44      1  36        0         0
#> 100   16.07      1  60        0         0
#> 129   23.41      1  53        1         0
#> 19    24.00      0  57        0         1
#> 119   24.00      0  17        0         0
#> 82    24.00      0  34        0         0
#> 12    24.00      0  63        0         0
#> 193   24.00      0  45        0         1
#> 151   24.00      0  42        0         0
#> 103   24.00      0  56        1         0
#> 2     24.00      0   9        0         0
#> 28    24.00      0  67        1         0
#> 142   24.00      0  53        0         0
#> 28.1  24.00      0  67        1         0
#> 46    24.00      0  71        0         0
#> 112   24.00      0  61        0         0
#> 73    24.00      0  NA        0         1
#> 132   24.00      0  55        0         0
#> 20    24.00      0  46        1         0
#> 19.1  24.00      0  57        0         1
#> 27    24.00      0  63        1         0
#> 103.1 24.00      0  56        1         0
#> 87    24.00      0  27        0         0
#> 121   24.00      0  57        1         0
#> 182   24.00      0  35        0         0
#> 75    24.00      0  21        1         0
#> 119.1 24.00      0  17        0         0
#> 141   24.00      0  44        1         0
#> 191   24.00      0  60        0         1
#> 156   24.00      0  50        1         0
#> 193.1 24.00      0  45        0         1
#> 173   24.00      0  19        0         1
#> 35    24.00      0  51        0         0
#> 162   24.00      0  51        0         0
#> 115   24.00      0  NA        1         0
#> 151.1 24.00      0  42        0         0
#> 80    24.00      0  41        0         0
#> 31    24.00      0  36        0         1
#> 148   24.00      0  61        1         0
#> 122   24.00      0  66        0         0
#> 1     24.00      0  23        1         0
#> 46.1  24.00      0  71        0         0
#> 95    24.00      0  68        0         1
#> 53    24.00      0  32        0         1
#> 80.1  24.00      0  41        0         0
#> 147   24.00      0  76        1         0
#> 143   24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 165   24.00      0  47        0         0
#> 191.1 24.00      0  60        0         1
#> 3     24.00      0  31        1         0
#> 121.1 24.00      0  57        1         0
#> 186   24.00      0  45        1         0
#> 94    24.00      0  51        0         1
#> 3.1   24.00      0  31        1         0
#> 119.2 24.00      0  17        0         0
#> 151.2 24.00      0  42        0         0
#> 53.1  24.00      0  32        0         1
#> 160   24.00      0  31        1         0
#> 191.2 24.00      0  60        0         1
#> 138   24.00      0  44        1         0
#> 116   24.00      0  58        0         1
#> 64    24.00      0  43        0         0
#> 121.2 24.00      0  57        1         0
#> 174   24.00      0  49        1         0
#> 53.2  24.00      0  32        0         1
#> 116.1 24.00      0  58        0         1
#> 104   24.00      0  50        1         0
#> 28.2  24.00      0  67        1         0
#> 71    24.00      0  51        0         0
#> 198   24.00      0  66        0         1
#> 35.1  24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 135   24.00      0  58        1         0
#> 20.1  24.00      0  46        1         0
#> 120   24.00      0  68        0         1
#> 160.1 24.00      0  31        1         0
#> 174.1 24.00      0  49        1         0
#> 48    24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 126   24.00      0  48        0         0
#> 174.2 24.00      0  49        1         0
#> 94.1  24.00      0  51        0         1
#> 27.1  24.00      0  63        1         0
#> 115.1 24.00      0  NA        1         0
#> 74    24.00      0  43        0         1
#> 71.1  24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 151.3 24.00      0  42        0         0
#> 147.1 24.00      0  76        1         0
#> 143.1 24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.124          NA        NA      NA
#> 2 age, Cure model         -0.00218        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0485         NA        NA      NA
#> 4 grade_iii, Cure model    0.607          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00363        NA        NA      NA
#> 2 grade_ii, Survival model   0.775          NA        NA      NA
#> 3 grade_iii, Survival model  0.444          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.123929         -0.002178         -0.048470          0.606849  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.1 
#> Residual Deviance: 256.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.123929467     -0.002177972     -0.048470373      0.606849003 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003631626      0.774761293      0.443750974 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.05931002 0.24837911 0.48299876 0.62817534 0.96319708 0.61223754
#>   [7] 0.57926566 0.77170379 0.93037809 0.78482067 0.91369946 0.87270844
#>  [13] 0.52881806 0.33665488 0.47335093 0.27935292 0.14172313 0.95230297
#>  [19] 0.68878240 0.57926566 0.87270844 0.78482067 0.74445251 0.89636450
#>  [25] 0.37610563 0.14172313 0.68878240 0.62817534 0.64352536 0.96859833
#>  [31] 0.84214165 0.93037809 0.65885287 0.61223754 0.42312272 0.56258413
#>  [37] 0.68878240 0.55413905 0.57926566 0.60397652 0.85456666 0.93037809
#>  [43] 0.73045042 0.91369946 0.68139496 0.49259991 0.82355141 0.30988569
#>  [49] 0.82355141 0.30988569 0.49259991 0.66641042 0.56258413 0.36304385
#>  [55] 0.85456666 0.51103044 0.42312272 0.88455572 0.52881806 0.52881806
#>  [61] 0.68878240 0.78482067 0.05931002 0.86669393 0.51103044 0.89636450
#>  [67] 0.75822195 0.65123301 0.33665488 0.46332739 0.98441930 0.67394001
#>  [73] 0.99483682 0.45313411 0.88455572 0.75822195 0.05931002 0.78482067
#>  [79] 0.97916301 0.73750597 0.81067578 0.38880498 0.18913826 0.84214165
#>  [85] 0.82355141 0.40080367 0.91369946 0.23041636 0.27935292 0.90793200
#>  [91] 0.42312272 0.98964801 0.96859833 0.77170379 0.05931002 0.68878240
#>  [97] 0.41221227 0.81067578 0.94680094 0.24837911 0.95777710 0.68878240
#> [103] 0.75134491 0.21140779 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    24    92   105    41   101    51     8    18   159   157   107    42    76 
#> 23.89 22.92 19.75 18.02  9.97 18.23 18.43 15.21 10.55 15.10 11.18 12.43 19.22 
#>   169   158   113    78    52    85   8.1  42.1 157.1   188    49   136  78.1 
#> 22.41 20.14 22.86 23.88 10.42 16.44 18.43 12.43 15.10 16.16 12.19 21.83 23.88 
#>  85.1  41.1   184   183    14 159.1   117  51.1    36   179   192    97   8.2 
#> 16.44 18.02 17.77  9.24 12.89 10.55 17.46 18.23 21.19 18.63 16.44 19.14 18.43 
#>   108   140 159.2     5 107.1   181   170    60    63  60.1  63.1 170.1    30 
#> 18.29 12.68 10.55 16.43 11.18 16.46 19.54 13.15 22.77 13.15 22.77 19.54 17.43 
#> 179.1   194 140.1    55    99    56  76.1  76.2  85.2 157.2  24.1    37  55.1 
#> 18.63 22.40 12.68 19.34 21.19 12.21 19.22 19.22 16.44 15.10 23.89 12.52 19.34 
#>  49.1    26   110 169.1   128    77    45   127    68  56.1  26.1  24.2 157.3 
#> 12.19 15.77 17.56 22.41 20.35  7.27 17.42  3.53 20.62 12.21 15.77 23.89 15.10 
#>    70    79    96   197   164  14.1  60.2   139 107.2    69 113.1    43  36.1 
#>  7.38 16.23 14.54 21.60 23.60 12.89 13.15 21.49 11.18 23.23 22.86 12.10 21.19 
#>    25 183.1  18.1  24.3 192.1   153  96.1    10  92.1   145  85.3   100   129 
#>  6.32  9.24 15.21 23.89 16.44 21.33 14.54 10.53 22.92 10.07 16.44 16.07 23.41 
#>    19   119    82    12   193   151   103     2    28   142  28.1    46   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   132    20  19.1    27 103.1    87   121   182    75 119.1   141   191   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.1   173    35   162 151.1    80    31   148   122     1  46.1    95    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  80.1   147   143    83   165 191.1     3 121.1   186    94   3.1 119.2 151.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  53.1   160 191.2   138   116    64 121.2   174  53.2 116.1   104  28.2    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198  35.1    17   135  20.1   120 160.1 174.1    48    21   126 174.2  94.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  27.1    74  71.1    84 151.3 147.1 143.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[86]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.00270652                0.75980373                0.32913665 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.55137710              0.02911971             -0.10837905 
#>   grade_iii, Cure model 
#>              1.40376095 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 29    15.45      1  68        1         0
#> 40    18.00      1  28        1         0
#> 16     8.71      1  71        0         1
#> 145   10.07      1  65        1         0
#> 90    20.94      1  50        0         1
#> 150   20.33      1  48        0         0
#> 111   17.45      1  47        0         1
#> 179   18.63      1  42        0         0
#> 50    10.02      1  NA        1         0
#> 90.1  20.94      1  50        0         1
#> 29.1  15.45      1  68        1         0
#> 15    22.68      1  48        0         0
#> 183    9.24      1  67        1         0
#> 55    19.34      1  69        0         1
#> 41    18.02      1  40        1         0
#> 124    9.73      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 55.1  19.34      1  69        0         1
#> 134   17.81      1  47        1         0
#> 61    10.12      1  36        0         1
#> 79    16.23      1  54        1         0
#> 45    17.42      1  54        0         1
#> 168   23.72      1  70        0         0
#> 187    9.92      1  39        1         0
#> 5     16.43      1  51        0         1
#> 149    8.37      1  33        1         0
#> 58    19.34      1  39        0         0
#> 170   19.54      1  43        0         1
#> 188   16.16      1  46        0         1
#> 107   11.18      1  54        1         0
#> 23    16.92      1  61        0         0
#> 37    12.52      1  57        1         0
#> 4     17.64      1  NA        0         1
#> 114   13.68      1  NA        0         0
#> 37.1  12.52      1  57        1         0
#> 89    11.44      1  NA        0         0
#> 51    18.23      1  83        0         1
#> 101    9.97      1  10        0         1
#> 36    21.19      1  48        0         1
#> 23.1  16.92      1  61        0         0
#> 125   15.65      1  67        1         0
#> 134.1 17.81      1  47        1         0
#> 181   16.46      1  45        0         1
#> 43    12.10      1  61        0         1
#> 57    14.46      1  45        0         1
#> 42    12.43      1  49        0         1
#> 76    19.22      1  54        0         1
#> 68    20.62      1  44        0         0
#> 187.1  9.92      1  39        1         0
#> 29.2  15.45      1  68        1         0
#> 128   20.35      1  35        0         1
#> 69    23.23      1  25        0         1
#> 108   18.29      1  39        0         1
#> 100   16.07      1  60        0         0
#> 157   15.10      1  47        0         0
#> 127    3.53      1  62        0         1
#> 42.1  12.43      1  49        0         1
#> 86    23.81      1  58        0         1
#> 140   12.68      1  59        1         0
#> 81    14.06      1  34        0         0
#> 85    16.44      1  36        0         0
#> 168.1 23.72      1  70        0         0
#> 153   21.33      1  55        1         0
#> 123   13.00      1  44        1         0
#> 32    20.90      1  37        1         0
#> 39    15.59      1  37        0         1
#> 157.1 15.10      1  47        0         0
#> 192   16.44      1  31        1         0
#> 113   22.86      1  34        0         0
#> 157.2 15.10      1  47        0         0
#> 181.1 16.46      1  45        0         1
#> 166   19.98      1  48        0         0
#> 51.1  18.23      1  83        0         1
#> 99    21.19      1  38        0         1
#> 76.1  19.22      1  54        0         1
#> 158   20.14      1  74        1         0
#> 69.1  23.23      1  25        0         1
#> 45.1  17.42      1  54        0         1
#> 32.1  20.90      1  37        1         0
#> 171   16.57      1  41        0         1
#> 96    14.54      1  33        0         1
#> 90.2  20.94      1  50        0         1
#> 93    10.33      1  52        0         1
#> 150.1 20.33      1  48        0         0
#> 97    19.14      1  65        0         1
#> 140.1 12.68      1  59        1         0
#> 42.2  12.43      1  49        0         1
#> 56    12.21      1  60        0         0
#> 15.1  22.68      1  48        0         0
#> 77     7.27      1  67        0         1
#> 168.2 23.72      1  70        0         0
#> 61.1  10.12      1  36        0         1
#> 171.1 16.57      1  41        0         1
#> 69.2  23.23      1  25        0         1
#> 51.2  18.23      1  83        0         1
#> 100.1 16.07      1  60        0         0
#> 68.1  20.62      1  44        0         0
#> 128.1 20.35      1  35        0         1
#> 157.3 15.10      1  47        0         0
#> 60    13.15      1  38        1         0
#> 26    15.77      1  49        0         1
#> 153.1 21.33      1  55        1         0
#> 188.1 16.16      1  46        0         1
#> 42.3  12.43      1  49        0         1
#> 190   20.81      1  42        1         0
#> 127.1  3.53      1  62        0         1
#> 55.2  19.34      1  69        0         1
#> 23.2  16.92      1  61        0         0
#> 85.1  16.44      1  36        0         0
#> 25     6.32      1  34        1         0
#> 79.1  16.23      1  54        1         0
#> 76.2  19.22      1  54        0         1
#> 160   24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 142   24.00      0  53        0         0
#> 7     24.00      0  37        1         0
#> 87    24.00      0  27        0         0
#> 178   24.00      0  52        1         0
#> 156   24.00      0  50        1         0
#> 7.1   24.00      0  37        1         0
#> 163   24.00      0  66        0         0
#> 19    24.00      0  57        0         1
#> 67    24.00      0  25        0         0
#> 165   24.00      0  47        0         0
#> 131   24.00      0  66        0         0
#> 112   24.00      0  61        0         0
#> 34    24.00      0  36        0         0
#> 62    24.00      0  71        0         0
#> 196   24.00      0  19        0         0
#> 48    24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 62.1  24.00      0  71        0         0
#> 28    24.00      0  67        1         0
#> 87.1  24.00      0  27        0         0
#> 75    24.00      0  21        1         0
#> 185   24.00      0  44        1         0
#> 121   24.00      0  57        1         0
#> 186   24.00      0  45        1         0
#> 67.1  24.00      0  25        0         0
#> 143   24.00      0  51        0         0
#> 54    24.00      0  53        1         0
#> 27    24.00      0  63        1         0
#> 46    24.00      0  71        0         0
#> 54.1  24.00      0  53        1         0
#> 48.1  24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 144   24.00      0  28        0         1
#> 1     24.00      0  23        1         0
#> 20    24.00      0  46        1         0
#> 46.1  24.00      0  71        0         0
#> 84    24.00      0  39        0         1
#> 82.1  24.00      0  34        0         0
#> 20.1  24.00      0  46        1         0
#> 138   24.00      0  44        1         0
#> 75.1  24.00      0  21        1         0
#> 137   24.00      0  45        1         0
#> 162   24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 173   24.00      0  19        0         1
#> 198   24.00      0  66        0         1
#> 144.1 24.00      0  28        0         1
#> 115   24.00      0  NA        1         0
#> 120   24.00      0  68        0         1
#> 53    24.00      0  32        0         1
#> 31    24.00      0  36        0         1
#> 1.1   24.00      0  23        1         0
#> 47.1  24.00      0  38        0         1
#> 176   24.00      0  43        0         1
#> 7.2   24.00      0  37        1         0
#> 102   24.00      0  49        0         0
#> 178.1 24.00      0  52        1         0
#> 83    24.00      0   6        0         0
#> 33    24.00      0  53        0         0
#> 44    24.00      0  56        0         0
#> 200   24.00      0  64        0         0
#> 186.1 24.00      0  45        1         0
#> 156.1 24.00      0  50        1         0
#> 1.2   24.00      0  23        1         0
#> 146   24.00      0  63        1         0
#> 178.2 24.00      0  52        1         0
#> 62.2  24.00      0  71        0         0
#> 186.2 24.00      0  45        1         0
#> 196.1 24.00      0  19        0         0
#> 141   24.00      0  44        1         0
#> 156.2 24.00      0  50        1         0
#> 196.2 24.00      0  19        0         0
#> 3     24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 3.1   24.00      0  31        1         0
#> 186.3 24.00      0  45        1         0
#> 161   24.00      0  45        0         0
#> 64    24.00      0  43        0         0
#> 126   24.00      0  48        0         0
#> 121.1 24.00      0  57        1         0
#> 147   24.00      0  76        1         0
#> 103   24.00      0  56        1         0
#> 3.2   24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 193   24.00      0  45        0         1
#> 95    24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.55          NA        NA      NA
#> 2 age, Cure model           0.0291        NA        NA      NA
#> 3 grade_ii, Cure model     -0.108         NA        NA      NA
#> 4 grade_iii, Cure model     1.40          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00271        NA        NA      NA
#> 2 grade_ii, Survival model   0.760          NA        NA      NA
#> 3 grade_iii, Survival model  0.329          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.55138           0.02912          -0.10838           1.40376  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.3 
#> Residual Deviance: 238.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.55137710       0.02911971      -0.10837905       1.40376095 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.00270652       0.75980373       0.32913665 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.78054080 0.58199611 0.96741053 0.93934770 0.29612344 0.40772714
#>   [7] 0.60596902 0.53045165 0.29612344 0.78054080 0.20699070 0.96187149
#>  [13] 0.45814517 0.57360413 0.77380270 0.45814517 0.59023295 0.92788266
#>  [19] 0.71113359 0.61382940 0.07826168 0.95072527 0.70381870 0.97292796
#>  [25] 0.45814517 0.44828544 0.72526185 0.91628377 0.62921136 0.86923064
#>  [31] 0.86923064 0.54829036 0.94504381 0.26943052 0.62921136 0.76011691
#>  [37] 0.59023295 0.66707654 0.91041855 0.83169261 0.88117374 0.49470409
#>  [43] 0.36571519 0.95072527 0.78054080 0.38702180 0.13855880 0.53941115
#>  [49] 0.73923389 0.79980470 0.98927461 0.88117374 0.04231099 0.85703718
#>  [55] 0.83808133 0.68196749 0.07826168 0.24116944 0.85078397 0.33242191
#>  [61] 0.76697617 0.79980470 0.68196749 0.18870051 0.79980470 0.66707654
#>  [67] 0.43830248 0.54829036 0.26943052 0.49470409 0.42828789 0.13855880
#>  [73] 0.61382940 0.33242191 0.65199378 0.82527581 0.29612344 0.92209416
#>  [79] 0.40772714 0.52147390 0.85703718 0.88117374 0.90452908 0.20699070
#>  [85] 0.97840385 0.07826168 0.92788266 0.65199378 0.13855880 0.54829036
#>  [91] 0.73923389 0.36571519 0.38702180 0.79980470 0.84446535 0.75315953
#>  [97] 0.24116944 0.72526185 0.88117374 0.35482075 0.98927461 0.45814517
#> [103] 0.62921136 0.68196749 0.98385941 0.71113359 0.49470409 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>    29    40    16   145    90   150   111   179  90.1  29.1    15   183    55 
#> 15.45 18.00  8.71 10.07 20.94 20.33 17.45 18.63 20.94 15.45 22.68  9.24 19.34 
#>    41   167  55.1   134    61    79    45   168   187     5   149    58   170 
#> 18.02 15.55 19.34 17.81 10.12 16.23 17.42 23.72  9.92 16.43  8.37 19.34 19.54 
#>   188   107    23    37  37.1    51   101    36  23.1   125 134.1   181    43 
#> 16.16 11.18 16.92 12.52 12.52 18.23  9.97 21.19 16.92 15.65 17.81 16.46 12.10 
#>    57    42    76    68 187.1  29.2   128    69   108   100   157   127  42.1 
#> 14.46 12.43 19.22 20.62  9.92 15.45 20.35 23.23 18.29 16.07 15.10  3.53 12.43 
#>    86   140    81    85 168.1   153   123    32    39 157.1   192   113 157.2 
#> 23.81 12.68 14.06 16.44 23.72 21.33 13.00 20.90 15.59 15.10 16.44 22.86 15.10 
#> 181.1   166  51.1    99  76.1   158  69.1  45.1  32.1   171    96  90.2    93 
#> 16.46 19.98 18.23 21.19 19.22 20.14 23.23 17.42 20.90 16.57 14.54 20.94 10.33 
#> 150.1    97 140.1  42.2    56  15.1    77 168.2  61.1 171.1  69.2  51.2 100.1 
#> 20.33 19.14 12.68 12.43 12.21 22.68  7.27 23.72 10.12 16.57 23.23 18.23 16.07 
#>  68.1 128.1 157.3    60    26 153.1 188.1  42.3   190 127.1  55.2  23.2  85.1 
#> 20.62 20.35 15.10 13.15 15.77 21.33 16.16 12.43 20.81  3.53 19.34 16.92 16.44 
#>    25  79.1  76.2   160    47   142     7    87   178   156   7.1   163    19 
#>  6.32 16.23 19.22 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67   165   131   112    34    62   196    48    65  62.1    28  87.1    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185   121   186  67.1   143    54    27    46  54.1  48.1    82   144     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20  46.1    84  82.1  20.1   138  75.1   137   162   152   173   198 144.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120    53    31   1.1  47.1   176   7.2   102 178.1    83    33    44   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 186.1 156.1   1.2   146 178.2  62.2 186.2 196.1   141 156.2 196.2     3   3.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 186.3   161    64   126 121.1   147   103   3.2   174   193    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[87]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01300662                0.75249389                0.22090693 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.97752335              0.02040954             -0.17427957 
#>   grade_iii, Cure model 
#>              0.91278897 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 194   22.40      1  38        0         1
#> 77     7.27      1  67        0         1
#> 187    9.92      1  39        1         0
#> 170   19.54      1  43        0         1
#> 59    10.16      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 50    10.02      1  NA        1         0
#> 77.1   7.27      1  67        0         1
#> 125.1 15.65      1  67        1         0
#> 66    22.13      1  53        0         0
#> 5     16.43      1  51        0         1
#> 39    15.59      1  37        0         1
#> 77.2   7.27      1  67        0         1
#> 133   14.65      1  57        0         0
#> 69    23.23      1  25        0         1
#> 57    14.46      1  45        0         1
#> 108   18.29      1  39        0         1
#> 69.1  23.23      1  25        0         1
#> 134   17.81      1  47        1         0
#> 180   14.82      1  37        0         0
#> 110   17.56      1  65        0         1
#> 5.1   16.43      1  51        0         1
#> 10    10.53      1  34        0         0
#> 199   19.81      1  NA        0         1
#> 92    22.92      1  47        0         1
#> 134.1 17.81      1  47        1         0
#> 55    19.34      1  69        0         1
#> 194.1 22.40      1  38        0         1
#> 15    22.68      1  48        0         0
#> 18    15.21      1  49        1         0
#> 170.1 19.54      1  43        0         1
#> 37    12.52      1  57        1         0
#> 57.1  14.46      1  45        0         1
#> 45    17.42      1  54        0         1
#> 192   16.44      1  31        1         0
#> 157   15.10      1  47        0         0
#> 91     5.33      1  61        0         1
#> 136   21.83      1  43        0         1
#> 81    14.06      1  34        0         0
#> 154   12.63      1  20        1         0
#> 155   13.08      1  26        0         0
#> 100   16.07      1  60        0         0
#> 66.1  22.13      1  53        0         0
#> 149    8.37      1  33        1         0
#> 69.2  23.23      1  25        0         1
#> 166   19.98      1  48        0         0
#> 100.1 16.07      1  60        0         0
#> 77.3   7.27      1  67        0         1
#> 179   18.63      1  42        0         0
#> 70     7.38      1  30        1         0
#> 24    23.89      1  38        0         0
#> 136.1 21.83      1  43        0         1
#> 117   17.46      1  26        0         1
#> 136.2 21.83      1  43        0         1
#> 61    10.12      1  36        0         1
#> 36    21.19      1  48        0         1
#> 10.1  10.53      1  34        0         0
#> 194.2 22.40      1  38        0         1
#> 37.1  12.52      1  57        1         0
#> 57.2  14.46      1  45        0         1
#> 110.1 17.56      1  65        0         1
#> 37.2  12.52      1  57        1         0
#> 23    16.92      1  61        0         0
#> 140   12.68      1  59        1         0
#> 184   17.77      1  38        0         0
#> 49    12.19      1  48        1         0
#> 130   16.47      1  53        0         1
#> 197   21.60      1  69        1         0
#> 169   22.41      1  46        0         0
#> 177   12.53      1  75        0         0
#> 150   20.33      1  48        0         0
#> 183    9.24      1  67        1         0
#> 130.1 16.47      1  53        0         1
#> 42    12.43      1  49        0         1
#> 37.3  12.52      1  57        1         0
#> 10.2  10.53      1  34        0         0
#> 114   13.68      1  NA        0         0
#> 55.1  19.34      1  69        0         1
#> 188   16.16      1  46        0         1
#> 194.3 22.40      1  38        0         1
#> 195   11.76      1  NA        1         0
#> 150.1 20.33      1  48        0         0
#> 37.4  12.52      1  57        1         0
#> 128   20.35      1  35        0         1
#> 111   17.45      1  47        0         1
#> 24.1  23.89      1  38        0         0
#> 61.1  10.12      1  36        0         1
#> 76    19.22      1  54        0         1
#> 91.1   5.33      1  61        0         1
#> 133.1 14.65      1  57        0         0
#> 23.1  16.92      1  61        0         0
#> 158   20.14      1  74        1         0
#> 190   20.81      1  42        1         0
#> 171   16.57      1  41        0         1
#> 93    10.33      1  52        0         1
#> 25     6.32      1  34        1         0
#> 59.1  10.16      1  NA        1         0
#> 179.1 18.63      1  42        0         0
#> 4     17.64      1  NA        0         1
#> 32    20.90      1  37        1         0
#> 39.1  15.59      1  37        0         1
#> 78    23.88      1  43        0         0
#> 85    16.44      1  36        0         0
#> 106   16.67      1  49        1         0
#> 18.1  15.21      1  49        1         0
#> 181   16.46      1  45        0         1
#> 61.2  10.12      1  36        0         1
#> 158.1 20.14      1  74        1         0
#> 40    18.00      1  28        1         0
#> 128.1 20.35      1  35        0         1
#> 187.1  9.92      1  39        1         0
#> 86    23.81      1  58        0         1
#> 141   24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 38    24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 47    24.00      0  38        0         1
#> 137   24.00      0  45        1         0
#> 27    24.00      0  63        1         0
#> 35    24.00      0  51        0         0
#> 131   24.00      0  66        0         0
#> 135.1 24.00      0  58        1         0
#> 173   24.00      0  19        0         1
#> 54    24.00      0  53        1         0
#> 31    24.00      0  36        0         1
#> 152   24.00      0  36        0         1
#> 156   24.00      0  50        1         0
#> 121   24.00      0  57        1         0
#> 71    24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 80    24.00      0  41        0         0
#> 161   24.00      0  45        0         0
#> 160   24.00      0  31        1         0
#> 3     24.00      0  31        1         0
#> 31.1  24.00      0  36        0         1
#> 119   24.00      0  17        0         0
#> 12    24.00      0  63        0         0
#> 84    24.00      0  39        0         1
#> 67    24.00      0  25        0         0
#> 132   24.00      0  55        0         0
#> 54.1  24.00      0  53        1         0
#> 193   24.00      0  45        0         1
#> 72    24.00      0  40        0         1
#> 200   24.00      0  64        0         0
#> 22    24.00      0  52        1         0
#> 64    24.00      0  43        0         0
#> 173.1 24.00      0  19        0         1
#> 84.1  24.00      0  39        0         1
#> 73.1  24.00      0  NA        0         1
#> 73.2  24.00      0  NA        0         1
#> 196   24.00      0  19        0         0
#> 193.1 24.00      0  45        0         1
#> 173.2 24.00      0  19        0         1
#> 82    24.00      0  34        0         0
#> 48    24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 95    24.00      0  68        0         1
#> 151   24.00      0  42        0         0
#> 98    24.00      0  34        1         0
#> 74    24.00      0  43        0         1
#> 38.1  24.00      0  31        1         0
#> 98.1  24.00      0  34        1         0
#> 116   24.00      0  58        0         1
#> 121.1 24.00      0  57        1         0
#> 71.1  24.00      0  51        0         0
#> 71.2  24.00      0  51        0         0
#> 33    24.00      0  53        0         0
#> 174   24.00      0  49        1         0
#> 138   24.00      0  44        1         0
#> 12.1  24.00      0  63        0         0
#> 103   24.00      0  56        1         0
#> 72.1  24.00      0  40        0         1
#> 121.2 24.00      0  57        1         0
#> 83    24.00      0   6        0         0
#> 185   24.00      0  44        1         0
#> 3.1   24.00      0  31        1         0
#> 198   24.00      0  66        0         1
#> 182   24.00      0  35        0         0
#> 112   24.00      0  61        0         0
#> 54.2  24.00      0  53        1         0
#> 118   24.00      0  44        1         0
#> 173.3 24.00      0  19        0         1
#> 75    24.00      0  21        1         0
#> 178   24.00      0  52        1         0
#> 120   24.00      0  68        0         1
#> 131.1 24.00      0  66        0         0
#> 174.1 24.00      0  49        1         0
#> 137.1 24.00      0  45        1         0
#> 3.2   24.00      0  31        1         0
#> 64.1  24.00      0  43        0         0
#> 44    24.00      0  56        0         0
#> 112.1 24.00      0  61        0         0
#> 64.2  24.00      0  43        0         0
#> 165   24.00      0  47        0         0
#> 115   24.00      0  NA        1         0
#> 135.2 24.00      0  58        1         0
#> 95.1  24.00      0  68        0         1
#> 47.1  24.00      0  38        0         1
#> 143   24.00      0  51        0         0
#> 160.1 24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.978         NA        NA      NA
#> 2 age, Cure model           0.0204        NA        NA      NA
#> 3 grade_ii, Cure model     -0.174         NA        NA      NA
#> 4 grade_iii, Cure model     0.913         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0130        NA        NA      NA
#> 2 grade_ii, Survival model    0.752         NA        NA      NA
#> 3 grade_iii, Survival model   0.221         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.97752           0.02041          -0.17428           0.91279  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    259.7 
#> Residual Deviance: 246.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.97752335       0.02040954      -0.17427957       0.91278897 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01300662       0.75249389       0.22090693 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.37594126 0.97485428 0.95580921 0.61287263 0.81327172 0.97485428
#>   [7] 0.81327172 0.43592138 0.78601666 0.82347475 0.97485428 0.85295797
#>  [13] 0.24922564 0.86248076 0.66655310 0.24922564 0.68106474 0.84812374
#>  [19] 0.70123776 0.78601666 0.92798569 0.31471054 0.68106474 0.62895831
#>  [25] 0.37594126 0.33617317 0.83355069 0.61287263 0.89934418 0.86248076
#>  [31] 0.72694276 0.77477148 0.84327242 0.99290135 0.46496603 0.87643971
#>  [37] 0.89032634 0.88110378 0.80251925 0.43592138 0.96733874 0.24922564
#>  [43] 0.60451536 0.80251925 0.97485428 0.65178859 0.97111203 0.09743968
#>  [49] 0.46496603 0.71414152 0.46496603 0.94400839 0.51555292 0.92798569
#>  [55] 0.37594126 0.89934418 0.86248076 0.70123776 0.89934418 0.73322305
#>  [61] 0.88575793 0.69451936 0.92393132 0.75742905 0.50363562 0.35651087
#>  [67] 0.89485403 0.56840218 0.96353189 0.75742905 0.91982355 0.89934418
#>  [73] 0.92798569 0.62895831 0.79703777 0.37594126 0.56840218 0.89934418
#>  [79] 0.54850181 0.72057905 0.09743968 0.94400839 0.64423905 0.99290135
#>  [85] 0.85295797 0.73322305 0.58771642 0.53809142 0.75147965 0.94000847
#>  [91] 0.98930032 0.65178859 0.52711517 0.82347475 0.17933596 0.77477148
#>  [97] 0.74547674 0.83355069 0.76901200 0.94400839 0.58771642 0.67388917
#> [103] 0.54850181 0.95580921 0.21879794 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   194    77   187   170   125  77.1 125.1    66     5    39  77.2   133    69 
#> 22.40  7.27  9.92 19.54 15.65  7.27 15.65 22.13 16.43 15.59  7.27 14.65 23.23 
#>    57   108  69.1   134   180   110   5.1    10    92 134.1    55 194.1    15 
#> 14.46 18.29 23.23 17.81 14.82 17.56 16.43 10.53 22.92 17.81 19.34 22.40 22.68 
#>    18 170.1    37  57.1    45   192   157    91   136    81   154   155   100 
#> 15.21 19.54 12.52 14.46 17.42 16.44 15.10  5.33 21.83 14.06 12.63 13.08 16.07 
#>  66.1   149  69.2   166 100.1  77.3   179    70    24 136.1   117 136.2    61 
#> 22.13  8.37 23.23 19.98 16.07  7.27 18.63  7.38 23.89 21.83 17.46 21.83 10.12 
#>    36  10.1 194.2  37.1  57.2 110.1  37.2    23   140   184    49   130   197 
#> 21.19 10.53 22.40 12.52 14.46 17.56 12.52 16.92 12.68 17.77 12.19 16.47 21.60 
#>   169   177   150   183 130.1    42  37.3  10.2  55.1   188 194.3 150.1  37.4 
#> 22.41 12.53 20.33  9.24 16.47 12.43 12.52 10.53 19.34 16.16 22.40 20.33 12.52 
#>   128   111  24.1  61.1    76  91.1 133.1  23.1   158   190   171    93    25 
#> 20.35 17.45 23.89 10.12 19.22  5.33 14.65 16.92 20.14 20.81 16.57 10.33  6.32 
#> 179.1    32  39.1    78    85   106  18.1   181  61.2 158.1    40 128.1 187.1 
#> 18.63 20.90 15.59 23.88 16.44 16.67 15.21 16.46 10.12 20.14 18.00 20.35  9.92 
#>    86   141     7    38   135    47   137    27    35   131 135.1   173    54 
#> 23.81 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31   152   156   121    71    80   161   160     3  31.1   119    12    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67   132  54.1   193    72   200    22    64 173.1  84.1   196 193.1 173.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    82    48    87    95   151    98    74  38.1  98.1   116 121.1  71.1  71.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33   174   138  12.1   103  72.1 121.2    83   185   3.1   198   182   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  54.2   118 173.3    75   178   120 131.1 174.1 137.1   3.2  64.1    44 112.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  64.2   165 135.2  95.1  47.1   143 160.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[88]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.008168965               0.783307508               0.165582917 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.100820723             0.002840877             0.106534499 
#>   grade_iii, Cure model 
#>             0.301272740 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 4     17.64      1  NA        0         1
#> 107   11.18      1  54        1         0
#> 180   14.82      1  37        0         0
#> 157   15.10      1  47        0         0
#> 92    22.92      1  47        0         1
#> 183    9.24      1  67        1         0
#> 52    10.42      1  52        0         1
#> 30    17.43      1  78        0         0
#> 171   16.57      1  41        0         1
#> 199   19.81      1  NA        0         1
#> 180.1 14.82      1  37        0         0
#> 195   11.76      1  NA        1         0
#> 149    8.37      1  33        1         0
#> 171.1 16.57      1  41        0         1
#> 108   18.29      1  39        0         1
#> 24    23.89      1  38        0         0
#> 10    10.53      1  34        0         0
#> 184   17.77      1  38        0         0
#> 127    3.53      1  62        0         1
#> 68    20.62      1  44        0         0
#> 194   22.40      1  38        0         1
#> 57    14.46      1  45        0         1
#> 24.1  23.89      1  38        0         0
#> 77     7.27      1  67        0         1
#> 92.1  22.92      1  47        0         1
#> 164   23.60      1  76        0         1
#> 124    9.73      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 150   20.33      1  48        0         0
#> 194.1 22.40      1  38        0         1
#> 159   10.55      1  50        0         1
#> 125   15.65      1  67        1         0
#> 101    9.97      1  10        0         1
#> 117   17.46      1  26        0         1
#> 157.1 15.10      1  47        0         0
#> 60    13.15      1  38        1         0
#> 68.1  20.62      1  44        0         0
#> 32    20.90      1  37        1         0
#> 139   21.49      1  63        1         0
#> 57.1  14.46      1  45        0         1
#> 76    19.22      1  54        0         1
#> 169   22.41      1  46        0         0
#> 113   22.86      1  34        0         0
#> 134   17.81      1  47        1         0
#> 108.1 18.29      1  39        0         1
#> 52.1  10.42      1  52        0         1
#> 78    23.88      1  43        0         0
#> 184.1 17.77      1  38        0         0
#> 89    11.44      1  NA        0         0
#> 18    15.21      1  49        1         0
#> 70     7.38      1  30        1         0
#> 123   13.00      1  44        1         0
#> 133   14.65      1  57        0         0
#> 70.1   7.38      1  30        1         0
#> 100   16.07      1  60        0         0
#> 43    12.10      1  61        0         1
#> 63    22.77      1  31        1         0
#> 89.1  11.44      1  NA        0         0
#> 61    10.12      1  36        0         1
#> 190   20.81      1  42        1         0
#> 79    16.23      1  54        1         0
#> 55    19.34      1  69        0         1
#> 167   15.55      1  56        1         0
#> 41    18.02      1  40        1         0
#> 29    15.45      1  68        1         0
#> 114   13.68      1  NA        0         0
#> 123.1 13.00      1  44        1         0
#> 59    10.16      1  NA        1         0
#> 187    9.92      1  39        1         0
#> 157.2 15.10      1  47        0         0
#> 88    18.37      1  47        0         0
#> 167.1 15.55      1  56        1         0
#> 194.2 22.40      1  38        0         1
#> 100.1 16.07      1  60        0         0
#> 8     18.43      1  32        0         0
#> 88.1  18.37      1  47        0         0
#> 123.2 13.00      1  44        1         0
#> 81    14.06      1  34        0         0
#> 107.1 11.18      1  54        1         0
#> 166   19.98      1  48        0         0
#> 81.1  14.06      1  34        0         0
#> 42    12.43      1  49        0         1
#> 134.1 17.81      1  47        1         0
#> 123.3 13.00      1  44        1         0
#> 124.1  9.73      1  NA        1         0
#> 92.2  22.92      1  47        0         1
#> 184.2 17.77      1  38        0         0
#> 92.3  22.92      1  47        0         1
#> 24.2  23.89      1  38        0         0
#> 85    16.44      1  36        0         0
#> 39    15.59      1  37        0         1
#> 43.1  12.10      1  61        0         1
#> 133.1 14.65      1  57        0         0
#> 113.1 22.86      1  34        0         0
#> 169.1 22.41      1  46        0         0
#> 153   21.33      1  55        1         0
#> 110   17.56      1  65        0         1
#> 175   21.91      1  43        0         0
#> 188   16.16      1  46        0         1
#> 183.1  9.24      1  67        1         0
#> 15    22.68      1  48        0         0
#> 6     15.64      1  39        0         0
#> 177   12.53      1  75        0         0
#> 149.1  8.37      1  33        1         0
#> 155   13.08      1  26        0         0
#> 124.2  9.73      1  NA        1         0
#> 133.2 14.65      1  57        0         0
#> 187.1  9.92      1  39        1         0
#> 134.2 17.81      1  47        1         0
#> 110.1 17.56      1  65        0         1
#> 66    22.13      1  53        0         0
#> 89.2  11.44      1  NA        0         0
#> 143   24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 74    24.00      0  43        0         1
#> 109   24.00      0  48        0         0
#> 122   24.00      0  66        0         0
#> 191   24.00      0  60        0         1
#> 2     24.00      0   9        0         0
#> 11    24.00      0  42        0         1
#> 198   24.00      0  66        0         1
#> 122.1 24.00      0  66        0         0
#> 112   24.00      0  61        0         0
#> 119   24.00      0  17        0         0
#> 2.1   24.00      0   9        0         0
#> 48    24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 119.1 24.00      0  17        0         0
#> 22    24.00      0  52        1         0
#> 2.2   24.00      0   9        0         0
#> 84    24.00      0  39        0         1
#> 31    24.00      0  36        0         1
#> 173   24.00      0  19        0         1
#> 33    24.00      0  53        0         0
#> 2.3   24.00      0   9        0         0
#> 151   24.00      0  42        0         0
#> 53    24.00      0  32        0         1
#> 21    24.00      0  47        0         0
#> 147   24.00      0  76        1         0
#> 9     24.00      0  31        1         0
#> 38    24.00      0  31        1         0
#> 191.1 24.00      0  60        0         1
#> 46    24.00      0  71        0         0
#> 196   24.00      0  19        0         0
#> 156   24.00      0  50        1         0
#> 34    24.00      0  36        0         0
#> 138   24.00      0  44        1         0
#> 191.2 24.00      0  60        0         1
#> 71    24.00      0  51        0         0
#> 53.1  24.00      0  32        0         1
#> 17    24.00      0  38        0         1
#> 84.1  24.00      0  39        0         1
#> 104   24.00      0  50        1         0
#> 28    24.00      0  67        1         0
#> 19    24.00      0  57        0         1
#> 115   24.00      0  NA        1         0
#> 82    24.00      0  34        0         0
#> 135   24.00      0  58        1         0
#> 142   24.00      0  53        0         0
#> 31.1  24.00      0  36        0         1
#> 163   24.00      0  66        0         0
#> 146   24.00      0  63        1         0
#> 74.1  24.00      0  43        0         1
#> 146.1 24.00      0  63        1         0
#> 82.1  24.00      0  34        0         0
#> 144   24.00      0  28        0         1
#> 74.2  24.00      0  43        0         1
#> 165   24.00      0  47        0         0
#> 121   24.00      0  57        1         0
#> 22.1  24.00      0  52        1         0
#> 161   24.00      0  45        0         0
#> 104.1 24.00      0  50        1         0
#> 104.2 24.00      0  50        1         0
#> 141   24.00      0  44        1         0
#> 62    24.00      0  71        0         0
#> 137   24.00      0  45        1         0
#> 28.1  24.00      0  67        1         0
#> 9.1   24.00      0  31        1         0
#> 35    24.00      0  51        0         0
#> 191.3 24.00      0  60        0         1
#> 141.1 24.00      0  44        1         0
#> 35.1  24.00      0  51        0         0
#> 2.4   24.00      0   9        0         0
#> 156.1 24.00      0  50        1         0
#> 122.2 24.00      0  66        0         0
#> 21.1  24.00      0  47        0         0
#> 82.2  24.00      0  34        0         0
#> 19.1  24.00      0  57        0         1
#> 31.2  24.00      0  36        0         1
#> 17.1  24.00      0  38        0         1
#> 162   24.00      0  51        0         0
#> 178   24.00      0  52        1         0
#> 109.1 24.00      0  48        0         0
#> 12    24.00      0  63        0         0
#> 122.3 24.00      0  66        0         0
#> 46.1  24.00      0  71        0         0
#> 160   24.00      0  31        1         0
#> 71.1  24.00      0  51        0         0
#> 31.3  24.00      0  36        0         1
#> 162.1 24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.101          NA        NA      NA
#> 2 age, Cure model          0.00284        NA        NA      NA
#> 3 grade_ii, Cure model     0.107          NA        NA      NA
#> 4 grade_iii, Cure model    0.301          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00817        NA        NA      NA
#> 2 grade_ii, Survival model   0.783          NA        NA      NA
#> 3 grade_iii, Survival model  0.166          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.100821          0.002841          0.106534          0.301273  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.6 
#> Residual Deviance: 258.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.100820723      0.002840877      0.106534499      0.301272740 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.008168965      0.783307508      0.165582917 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.9085037 0.7969942 0.7783000 0.2241659 0.9611400 0.9298549 0.6722243
#>   [8] 0.6798884 0.7969942 0.9710926 0.6798884 0.5742905 0.0707325 0.9245288
#>  [15] 0.6253626 0.9952373 0.4870368 0.3779692 0.8277802 0.0707325 0.9904527
#>  [22] 0.2241659 0.1765206 0.2009722 0.5070225 0.3779692 0.9191927 0.7313600
#>  [29] 0.9456401 0.6644816 0.7783000 0.8520190 0.4870368 0.4659892 0.4427126
#>  [36] 0.8277802 0.5366360 0.3499200 0.2874522 0.6013914 0.5742905 0.9298549
#>  [43] 0.1472370 0.6253626 0.7719460 0.9808584 0.8639746 0.8094373 0.9808584
#>  [50] 0.7170534 0.8975038 0.3198527 0.9403800 0.4767550 0.7024359 0.5269261
#>  [57] 0.7522634 0.5924972 0.7654712 0.8639746 0.9508921 0.7783000 0.5557172
#>  [64] 0.7522634 0.3779692 0.7170534 0.5462015 0.5557172 0.8639746 0.8399276
#>  [71] 0.9085037 0.5170203 0.8399276 0.8919223 0.6013914 0.8639746 0.2241659
#>  [78] 0.6253626 0.2241659 0.0707325 0.6949113 0.7453297 0.8975038 0.8094373
#>  [85] 0.2874522 0.3499200 0.4547125 0.6490041 0.4297798 0.7097716 0.9611400
#>  [92] 0.3350482 0.7383572 0.8863140 0.9710926 0.8580017 0.8094373 0.9508921
#>  [99] 0.6013914 0.6490041 0.4166811 0.0000000 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>   107   180   157    92   183    52    30   171 180.1   149 171.1   108    24 
#> 11.18 14.82 15.10 22.92  9.24 10.42 17.43 16.57 14.82  8.37 16.57 18.29 23.89 
#>    10   184   127    68   194    57  24.1    77  92.1   164    69   150 194.1 
#> 10.53 17.77  3.53 20.62 22.40 14.46 23.89  7.27 22.92 23.60 23.23 20.33 22.40 
#>   159   125   101   117 157.1    60  68.1    32   139  57.1    76   169   113 
#> 10.55 15.65  9.97 17.46 15.10 13.15 20.62 20.90 21.49 14.46 19.22 22.41 22.86 
#>   134 108.1  52.1    78 184.1    18    70   123   133  70.1   100    43    63 
#> 17.81 18.29 10.42 23.88 17.77 15.21  7.38 13.00 14.65  7.38 16.07 12.10 22.77 
#>    61   190    79    55   167    41    29 123.1   187 157.2    88 167.1 194.2 
#> 10.12 20.81 16.23 19.34 15.55 18.02 15.45 13.00  9.92 15.10 18.37 15.55 22.40 
#> 100.1     8  88.1 123.2    81 107.1   166  81.1    42 134.1 123.3  92.2 184.2 
#> 16.07 18.43 18.37 13.00 14.06 11.18 19.98 14.06 12.43 17.81 13.00 22.92 17.77 
#>  92.3  24.2    85    39  43.1 133.1 113.1 169.1   153   110   175   188 183.1 
#> 22.92 23.89 16.44 15.59 12.10 14.65 22.86 22.41 21.33 17.56 21.91 16.16  9.24 
#>    15     6   177 149.1   155 133.2 187.1 134.2 110.1    66   143    65    74 
#> 22.68 15.64 12.53  8.37 13.08 14.65  9.92 17.81 17.56 22.13 24.00 24.00 24.00 
#>   109   122   191     2    11   198 122.1   112   119   2.1    48   118 119.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22   2.2    84    31   173    33   2.3   151    53    21   147     9    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 191.1    46   196   156    34   138 191.2    71  53.1    17  84.1   104    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19    82   135   142  31.1   163   146  74.1 146.1  82.1   144  74.2   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121  22.1   161 104.1 104.2   141    62   137  28.1   9.1    35 191.3 141.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  35.1   2.4 156.1 122.2  21.1  82.2  19.1  31.2  17.1   162   178 109.1    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 122.3  46.1   160  71.1  31.3 162.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[89]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01132684                0.36312371                0.11065727 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.70650641              0.01450712              0.22560658 
#>   grade_iii, Cure model 
#>              0.41159412 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 105   19.75      1  60        0         0
#> 63    22.77      1  31        1         0
#> 101    9.97      1  10        0         1
#> 76    19.22      1  54        0         1
#> 180   14.82      1  37        0         0
#> 91     5.33      1  61        0         1
#> 81    14.06      1  34        0         0
#> 184   17.77      1  38        0         0
#> 66    22.13      1  53        0         0
#> 180.1 14.82      1  37        0         0
#> 29    15.45      1  68        1         0
#> 23    16.92      1  61        0         0
#> 59    10.16      1  NA        1         0
#> 145   10.07      1  65        1         0
#> 187    9.92      1  39        1         0
#> 40    18.00      1  28        1         0
#> 49    12.19      1  48        1         0
#> 86    23.81      1  58        0         1
#> 60    13.15      1  38        1         0
#> 168   23.72      1  70        0         0
#> 45    17.42      1  54        0         1
#> 194   22.40      1  38        0         1
#> 179   18.63      1  42        0         0
#> 39    15.59      1  37        0         1
#> 177   12.53      1  75        0         0
#> 159   10.55      1  50        0         1
#> 85    16.44      1  36        0         0
#> 39.1  15.59      1  37        0         1
#> 6     15.64      1  39        0         0
#> 177.1 12.53      1  75        0         0
#> 157   15.10      1  47        0         0
#> 5     16.43      1  51        0         1
#> 42    12.43      1  49        0         1
#> 10    10.53      1  34        0         0
#> 50    10.02      1  NA        1         0
#> 133   14.65      1  57        0         0
#> 55    19.34      1  69        0         1
#> 86.1  23.81      1  58        0         1
#> 175   21.91      1  43        0         0
#> 177.2 12.53      1  75        0         0
#> 10.1  10.53      1  34        0         0
#> 36    21.19      1  48        0         1
#> 59.1  10.16      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 184.1 17.77      1  38        0         0
#> 175.1 21.91      1  43        0         0
#> 26    15.77      1  49        0         1
#> 70     7.38      1  30        1         0
#> 197   21.60      1  69        1         0
#> 42.1  12.43      1  49        0         1
#> 111   17.45      1  47        0         1
#> 159.1 10.55      1  50        0         1
#> 30    17.43      1  78        0         0
#> 139   21.49      1  63        1         0
#> 101.1  9.97      1  10        0         1
#> 111.1 17.45      1  47        0         1
#> 181   16.46      1  45        0         1
#> 149    8.37      1  33        1         0
#> 114   13.68      1  NA        0         0
#> 66.1  22.13      1  53        0         0
#> 107   11.18      1  54        1         0
#> 68    20.62      1  44        0         0
#> 140   12.68      1  59        1         0
#> 51    18.23      1  83        0         1
#> 18    15.21      1  49        1         0
#> 158   20.14      1  74        1         0
#> 195   11.76      1  NA        1         0
#> 61    10.12      1  36        0         1
#> 10.2  10.53      1  34        0         0
#> 50.1  10.02      1  NA        1         0
#> 199   19.81      1  NA        0         1
#> 85.1  16.44      1  36        0         0
#> 136   21.83      1  43        0         1
#> 155   13.08      1  26        0         0
#> 99    21.19      1  38        0         1
#> 60.1  13.15      1  38        1         0
#> 145.1 10.07      1  65        1         0
#> 88    18.37      1  47        0         0
#> 188   16.16      1  46        0         1
#> 197.1 21.60      1  69        1         0
#> 170   19.54      1  43        0         1
#> 123   13.00      1  44        1         0
#> 171   16.57      1  41        0         1
#> 171.1 16.57      1  41        0         1
#> 40.1  18.00      1  28        1         0
#> 175.2 21.91      1  43        0         0
#> 177.3 12.53      1  75        0         0
#> 49.1  12.19      1  48        1         0
#> 92    22.92      1  47        0         1
#> 60.2  13.15      1  38        1         0
#> 24    23.89      1  38        0         0
#> 79    16.23      1  54        1         0
#> 169   22.41      1  46        0         0
#> 45.1  17.42      1  54        0         1
#> 190   20.81      1  42        1         0
#> 181.1 16.46      1  45        0         1
#> 192   16.44      1  31        1         0
#> 66.2  22.13      1  53        0         0
#> 49.2  12.19      1  48        1         0
#> 39.2  15.59      1  37        0         1
#> 25     6.32      1  34        1         0
#> 93    10.33      1  52        0         1
#> 63.1  22.77      1  31        1         0
#> 129   23.41      1  53        1         0
#> 6.1   15.64      1  39        0         0
#> 32    20.90      1  37        1         0
#> 187.1  9.92      1  39        1         0
#> 52    10.42      1  52        0         1
#> 164   23.60      1  76        0         1
#> 25.1   6.32      1  34        1         0
#> 30.1  17.43      1  78        0         0
#> 50.2  10.02      1  NA        1         0
#> 196   24.00      0  19        0         0
#> 44    24.00      0  56        0         0
#> 19    24.00      0  57        0         1
#> 27    24.00      0  63        1         0
#> 20    24.00      0  46        1         0
#> 7     24.00      0  37        1         0
#> 47    24.00      0  38        0         1
#> 172   24.00      0  41        0         0
#> 109   24.00      0  48        0         0
#> 152   24.00      0  36        0         1
#> 21    24.00      0  47        0         0
#> 141   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 176   24.00      0  43        0         1
#> 156   24.00      0  50        1         0
#> 74    24.00      0  43        0         1
#> 185   24.00      0  44        1         0
#> 17    24.00      0  38        0         1
#> 54    24.00      0  53        1         0
#> 21.1  24.00      0  47        0         0
#> 94    24.00      0  51        0         1
#> 94.1  24.00      0  51        0         1
#> 109.1 24.00      0  48        0         0
#> 22    24.00      0  52        1         0
#> 135   24.00      0  58        1         0
#> 118   24.00      0  44        1         0
#> 64    24.00      0  43        0         0
#> 74.1  24.00      0  43        0         1
#> 138   24.00      0  44        1         0
#> 119   24.00      0  17        0         0
#> 112   24.00      0  61        0         0
#> 53    24.00      0  32        0         1
#> 83    24.00      0   6        0         0
#> 102   24.00      0  49        0         0
#> 72    24.00      0  40        0         1
#> 2     24.00      0   9        0         0
#> 65.1  24.00      0  57        1         0
#> 173   24.00      0  19        0         1
#> 53.1  24.00      0  32        0         1
#> 67    24.00      0  25        0         0
#> 135.1 24.00      0  58        1         0
#> 54.1  24.00      0  53        1         0
#> 31    24.00      0  36        0         1
#> 163   24.00      0  66        0         0
#> 2.1   24.00      0   9        0         0
#> 112.1 24.00      0  61        0         0
#> 65.2  24.00      0  57        1         0
#> 19.1  24.00      0  57        0         1
#> 94.2  24.00      0  51        0         1
#> 160   24.00      0  31        1         0
#> 160.1 24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 112.2 24.00      0  61        0         0
#> 162   24.00      0  51        0         0
#> 7.1   24.00      0  37        1         0
#> 34    24.00      0  36        0         0
#> 162.1 24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 19.2  24.00      0  57        0         1
#> 109.2 24.00      0  48        0         0
#> 84    24.00      0  39        0         1
#> 122   24.00      0  66        0         0
#> 147   24.00      0  76        1         0
#> 152.1 24.00      0  36        0         1
#> 9.1   24.00      0  31        1         0
#> 156.1 24.00      0  50        1         0
#> 126   24.00      0  48        0         0
#> 196.1 24.00      0  19        0         0
#> 19.3  24.00      0  57        0         1
#> 165   24.00      0  47        0         0
#> 19.4  24.00      0  57        0         1
#> 33    24.00      0  53        0         0
#> 48    24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 148   24.00      0  61        1         0
#> 174   24.00      0  49        1         0
#> 182.1 24.00      0  35        0         0
#> 98    24.00      0  34        1         0
#> 62    24.00      0  71        0         0
#> 12    24.00      0  63        0         0
#> 62.1  24.00      0  71        0         0
#> 176.1 24.00      0  43        0         1
#> 176.2 24.00      0  43        0         1
#> 142   24.00      0  53        0         0
#> 31.1  24.00      0  36        0         1
#> 102.1 24.00      0  49        0         0
#> 82    24.00      0  34        0         0
#> 44.1  24.00      0  56        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.707         NA        NA      NA
#> 2 age, Cure model           0.0145        NA        NA      NA
#> 3 grade_ii, Cure model      0.226         NA        NA      NA
#> 4 grade_iii, Cure model     0.412         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0113        NA        NA      NA
#> 2 grade_ii, Survival model    0.363         NA        NA      NA
#> 3 grade_iii, Survival model   0.111         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.70651           0.01451           0.22561           0.41159  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.8 
#> Residual Deviance: 261.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.70650641       0.01450712       0.22560658       0.41159412 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01132684       0.36312371       0.11065727 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.1372007370 0.0209300324 0.8778860170 0.1602948404 0.5033420443
#>   [6] 0.9862833487 0.5381278997 0.2100226121 0.0382344563 0.5033420443
#>  [11] 0.4692147298 0.2819701165 0.8508888234 0.9048854411 0.1933705470
#>  [16] 0.6949484449 0.0018290781 0.5499742591 0.0055276001 0.2630924793
#>  [21] 0.0334750356 0.1683191730 0.4363594262 0.6208488927 0.7456766718
#>  [26] 0.3313415651 0.4363594262 0.4146123130 0.6208488927 0.4918778842
#>  [31] 0.3614880666 0.6697157002 0.7715525181 0.5263643189 0.1524257904
#>  [36] 0.0018290781 0.0530350549 0.6208488927 0.7715525181 0.0951499923
#>  [41] 0.4037977093 0.2100226121 0.0530350549 0.3930769617 0.9455780240
#>  [46] 0.0758592511 0.6697157002 0.2271501295 0.7456766718 0.2447342667
#>  [51] 0.0884608207 0.8778860170 0.2271501295 0.3113326643 0.9319459707
#>  [56] 0.0382344563 0.7327896706 0.1226544623 0.6088135710 0.1848221667
#>  [61] 0.4805229733 0.1298505490 0.8374156531 0.7715525181 0.3313415651
#>  [66] 0.0696438321 0.5848977509 0.0951499923 0.5499742591 0.8508888234
#>  [71] 0.1764910343 0.3824601103 0.0758592511 0.1447504477 0.5968405029
#>  [76] 0.2917384107 0.2917384107 0.1933705470 0.0530350549 0.6208488927
#>  [81] 0.6949484449 0.0164748656 0.5499742591 0.0003929429 0.3719415545
#>  [86] 0.0288946146 0.2630924793 0.1156204190 0.3113326643 0.3313415651
#>  [91] 0.0382344563 0.6949484449 0.4363594262 0.9592054457 0.8239979747
#>  [96] 0.0209300324 0.0124026713 0.4146123130 0.1086317709 0.9048854411
#> [101] 0.8106628546 0.0086024319 0.9592054457 0.2447342667 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000 0.0000000000
#> 
#> $Time
#>   105    63   101    76   180    91    81   184    66 180.1    29    23   145 
#> 19.75 22.77  9.97 19.22 14.82  5.33 14.06 17.77 22.13 14.82 15.45 16.92 10.07 
#>   187    40    49    86    60   168    45   194   179    39   177   159    85 
#>  9.92 18.00 12.19 23.81 13.15 23.72 17.42 22.40 18.63 15.59 12.53 10.55 16.44 
#>  39.1     6 177.1   157     5    42    10   133    55  86.1   175 177.2  10.1 
#> 15.59 15.64 12.53 15.10 16.43 12.43 10.53 14.65 19.34 23.81 21.91 12.53 10.53 
#>    36   125 184.1 175.1    26    70   197  42.1   111 159.1    30   139 101.1 
#> 21.19 15.65 17.77 21.91 15.77  7.38 21.60 12.43 17.45 10.55 17.43 21.49  9.97 
#> 111.1   181   149  66.1   107    68   140    51    18   158    61  10.2  85.1 
#> 17.45 16.46  8.37 22.13 11.18 20.62 12.68 18.23 15.21 20.14 10.12 10.53 16.44 
#>   136   155    99  60.1 145.1    88   188 197.1   170   123   171 171.1  40.1 
#> 21.83 13.08 21.19 13.15 10.07 18.37 16.16 21.60 19.54 13.00 16.57 16.57 18.00 
#> 175.2 177.3  49.1    92  60.2    24    79   169  45.1   190 181.1   192  66.2 
#> 21.91 12.53 12.19 22.92 13.15 23.89 16.23 22.41 17.42 20.81 16.46 16.44 22.13 
#>  49.2  39.2    25    93  63.1   129   6.1    32 187.1    52   164  25.1  30.1 
#> 12.19 15.59  6.32 10.33 22.77 23.41 15.64 20.90  9.92 10.42 23.60  6.32 17.43 
#>   196    44    19    27    20     7    47   172   109   152    21   141    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176   156    74   185    17    54  21.1    94  94.1 109.1    22   135   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64  74.1   138   119   112    53    83   102    72     2  65.1   173  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67 135.1  54.1    31   163   2.1 112.1  65.2  19.1  94.2   160 160.1     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 112.2   162   7.1    34 162.1   182  19.2 109.2    84   122   147 152.1   9.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 156.1   126 196.1  19.3   165  19.4    33    48   193   148   174 182.1    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62    12  62.1 176.1 176.2   142  31.1 102.1    82  44.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[90]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.008119127               1.118191205               0.475185071 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.604500323             0.006135986            -0.101684777 
#>   grade_iii, Cure model 
#>             1.367742805 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 159   10.55      1  50        0         1
#> 4     17.64      1  NA        0         1
#> 166   19.98      1  48        0         0
#> 25     6.32      1  34        1         0
#> 50    10.02      1  NA        1         0
#> 4.1   17.64      1  NA        0         1
#> 140   12.68      1  59        1         0
#> 117   17.46      1  26        0         1
#> 96    14.54      1  33        0         1
#> 199   19.81      1  NA        0         1
#> 166.1 19.98      1  48        0         0
#> 108   18.29      1  39        0         1
#> 10    10.53      1  34        0         0
#> 157   15.10      1  47        0         0
#> 93    10.33      1  52        0         1
#> 169   22.41      1  46        0         0
#> 77     7.27      1  67        0         1
#> 29    15.45      1  68        1         0
#> 25.1   6.32      1  34        1         0
#> 50.1  10.02      1  NA        1         0
#> 139   21.49      1  63        1         0
#> 45    17.42      1  54        0         1
#> 111   17.45      1  47        0         1
#> 101    9.97      1  10        0         1
#> 189   10.51      1  NA        1         0
#> 108.1 18.29      1  39        0         1
#> 130   16.47      1  53        0         1
#> 39    15.59      1  37        0         1
#> 99    21.19      1  38        0         1
#> 154   12.63      1  20        1         0
#> 130.1 16.47      1  53        0         1
#> 154.1 12.63      1  20        1         0
#> 110   17.56      1  65        0         1
#> 188   16.16      1  46        0         1
#> 171   16.57      1  41        0         1
#> 113   22.86      1  34        0         0
#> 192   16.44      1  31        1         0
#> 194   22.40      1  38        0         1
#> 159.1 10.55      1  50        0         1
#> 113.1 22.86      1  34        0         0
#> 23    16.92      1  61        0         0
#> 4.2   17.64      1  NA        0         1
#> 26    15.77      1  49        0         1
#> 88    18.37      1  47        0         0
#> 25.2   6.32      1  34        1         0
#> 150   20.33      1  48        0         0
#> 49    12.19      1  48        1         0
#> 107   11.18      1  54        1         0
#> 96.1  14.54      1  33        0         1
#> 42    12.43      1  49        0         1
#> 77.1   7.27      1  67        0         1
#> 26.1  15.77      1  49        0         1
#> 45.1  17.42      1  54        0         1
#> 79    16.23      1  54        1         0
#> 50.2  10.02      1  NA        1         0
#> 61    10.12      1  36        0         1
#> 61.1  10.12      1  36        0         1
#> 89    11.44      1  NA        0         0
#> 99.1  21.19      1  38        0         1
#> 50.3  10.02      1  NA        1         0
#> 61.2  10.12      1  36        0         1
#> 50.4  10.02      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 50.5  10.02      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 183    9.24      1  67        1         0
#> 128   20.35      1  35        0         1
#> 164   23.60      1  76        0         1
#> 111.1 17.45      1  47        0         1
#> 8     18.43      1  32        0         0
#> 92    22.92      1  47        0         1
#> 76    19.22      1  54        0         1
#> 14    12.89      1  21        0         0
#> 140.1 12.68      1  59        1         0
#> 133   14.65      1  57        0         0
#> 177   12.53      1  75        0         0
#> 26.2  15.77      1  49        0         1
#> 86    23.81      1  58        0         1
#> 8.1   18.43      1  32        0         0
#> 184   17.77      1  38        0         0
#> 166.2 19.98      1  48        0         0
#> 166.3 19.98      1  48        0         0
#> 139.1 21.49      1  63        1         0
#> 37    12.52      1  57        1         0
#> 97    19.14      1  65        0         1
#> 125   15.65      1  67        1         0
#> 77.2   7.27      1  67        0         1
#> 145   10.07      1  65        1         0
#> 24    23.89      1  38        0         0
#> 99.2  21.19      1  38        0         1
#> 97.1  19.14      1  65        0         1
#> 92.1  22.92      1  47        0         1
#> 175   21.91      1  43        0         0
#> 78    23.88      1  43        0         0
#> 85    16.44      1  36        0         0
#> 50.6  10.02      1  NA        1         0
#> 195   11.76      1  NA        1         0
#> 195.1 11.76      1  NA        1         0
#> 86.1  23.81      1  58        0         1
#> 50.7  10.02      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 58    19.34      1  39        0         0
#> 32    20.90      1  37        1         0
#> 127    3.53      1  62        0         1
#> 105   19.75      1  60        0         0
#> 106   16.67      1  49        1         0
#> 40    18.00      1  28        1         0
#> 45.2  17.42      1  54        0         1
#> 41    18.02      1  40        1         0
#> 89.1  11.44      1  NA        0         0
#> 140.2 12.68      1  59        1         0
#> 36    21.19      1  48        0         1
#> 28    24.00      0  67        1         0
#> 135   24.00      0  58        1         0
#> 104   24.00      0  50        1         0
#> 152   24.00      0  36        0         1
#> 122   24.00      0  66        0         0
#> 2     24.00      0   9        0         0
#> 44    24.00      0  56        0         0
#> 152.1 24.00      0  36        0         1
#> 126   24.00      0  48        0         0
#> 178   24.00      0  52        1         0
#> 95    24.00      0  68        0         1
#> 185   24.00      0  44        1         0
#> 21    24.00      0  47        0         0
#> 165   24.00      0  47        0         0
#> 141   24.00      0  44        1         0
#> 12    24.00      0  63        0         0
#> 103   24.00      0  56        1         0
#> 80    24.00      0  41        0         0
#> 122.1 24.00      0  66        0         0
#> 126.1 24.00      0  48        0         0
#> 20    24.00      0  46        1         0
#> 174   24.00      0  49        1         0
#> 98    24.00      0  34        1         0
#> 196   24.00      0  19        0         0
#> 200   24.00      0  64        0         0
#> 94    24.00      0  51        0         1
#> 116   24.00      0  58        0         1
#> 126.2 24.00      0  48        0         0
#> 21.1  24.00      0  47        0         0
#> 172   24.00      0  41        0         0
#> 53    24.00      0  32        0         1
#> 137   24.00      0  45        1         0
#> 27    24.00      0  63        1         0
#> 137.1 24.00      0  45        1         0
#> 143   24.00      0  51        0         0
#> 35    24.00      0  51        0         0
#> 176   24.00      0  43        0         1
#> 64    24.00      0  43        0         0
#> 75    24.00      0  21        1         0
#> 165.1 24.00      0  47        0         0
#> 12.1  24.00      0  63        0         0
#> 27.1  24.00      0  63        1         0
#> 182   24.00      0  35        0         0
#> 20.1  24.00      0  46        1         0
#> 118   24.00      0  44        1         0
#> 22    24.00      0  52        1         0
#> 54    24.00      0  53        1         0
#> 12.2  24.00      0  63        0         0
#> 1     24.00      0  23        1         0
#> 11    24.00      0  42        0         1
#> 17    24.00      0  38        0         1
#> 151   24.00      0  42        0         0
#> 151.1 24.00      0  42        0         0
#> 138   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 102   24.00      0  49        0         0
#> 115   24.00      0  NA        1         0
#> 178.1 24.00      0  52        1         0
#> 48    24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 19    24.00      0  57        0         1
#> 104.1 24.00      0  50        1         0
#> 191   24.00      0  60        0         1
#> 67    24.00      0  25        0         0
#> 31.1  24.00      0  36        0         1
#> 1.1   24.00      0  23        1         0
#> 44.1  24.00      0  56        0         0
#> 84    24.00      0  39        0         1
#> 9     24.00      0  31        1         0
#> 83    24.00      0   6        0         0
#> 38    24.00      0  31        1         0
#> 54.1  24.00      0  53        1         0
#> 95.1  24.00      0  68        0         1
#> 163   24.00      0  66        0         0
#> 83.1  24.00      0   6        0         0
#> 82    24.00      0  34        0         0
#> 3     24.00      0  31        1         0
#> 12.3  24.00      0  63        0         0
#> 7     24.00      0  37        1         0
#> 182.1 24.00      0  35        0         0
#> 65.1  24.00      0  57        1         0
#> 156   24.00      0  50        1         0
#> 118.1 24.00      0  44        1         0
#> 182.2 24.00      0  35        0         0
#> 109   24.00      0  48        0         0
#> 95.2  24.00      0  68        0         1
#> 118.2 24.00      0  44        1         0
#> 44.2  24.00      0  56        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.605          NA        NA      NA
#> 2 age, Cure model          0.00614        NA        NA      NA
#> 3 grade_ii, Cure model    -0.102          NA        NA      NA
#> 4 grade_iii, Cure model    1.37           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00812        NA        NA      NA
#> 2 grade_ii, Survival model   1.12           NA        NA      NA
#> 3 grade_iii, Survival model  0.475          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.604500          0.006136         -0.101685          1.367743  
#> 
#> Degrees of Freedom: 181 Total (i.e. Null);  178 Residual
#> Null Deviance:	    252 
#> Residual Deviance: 232.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.604500323      0.006135986     -0.101684777      1.367742805 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.008119127      1.118191205      0.475185071 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.84981509 0.27272166 0.96599575 0.75611290 0.47549327 0.72605146
#>   [7] 0.27272166 0.40798911 0.86786945 0.70585408 0.87696703 0.12161666
#>  [13] 0.93963176 0.69582716 0.96599575 0.16298199 0.50802836 0.48645197
#>  [19] 0.92185633 0.40798911 0.57234450 0.68568903 0.18649607 0.78493370
#>  [25] 0.57234450 0.78493370 0.46445772 0.62452508 0.56164952 0.09637217
#>  [31] 0.59349875 0.13544668 0.84981509 0.09637217 0.53997216 0.64512895
#>  [37] 0.39613338 0.96599575 0.26190004 0.83153931 0.84072553 0.72605146
#>  [43] 0.82224300 0.93963176 0.64512895 0.50802836 0.61423728 0.88605947
#>  [49] 0.88605947 0.18649607 0.88605947 0.22902231 0.04614560 0.93077696
#>  [55] 0.25122089 0.05919729 0.48645197 0.37299313 0.07265225 0.33861644
#>  [61] 0.74603301 0.75611290 0.71592638 0.80353379 0.64512895 0.02583741
#>  [67] 0.37299313 0.45343559 0.27272166 0.27272166 0.16298199 0.81293823
#>  [73] 0.35017710 0.67552219 0.93963176 0.91289382 0.00330647 0.18649607
#>  [79] 0.35017710 0.07265225 0.14902664 0.01290093 0.59349875 0.02583741
#>  [85] 0.63479478 0.32704102 0.24044541 0.99144218 0.31557576 0.55092332
#>  [91] 0.44248414 0.50802836 0.43112880 0.75611290 0.18649607 0.00000000
#>  [97] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000
#> 
#> $Time
#>   159   166    25   140   117    96 166.1   108    10   157    93   169    77 
#> 10.55 19.98  6.32 12.68 17.46 14.54 19.98 18.29 10.53 15.10 10.33 22.41  7.27 
#>    29  25.1   139    45   111   101 108.1   130    39    99   154 130.1 154.1 
#> 15.45  6.32 21.49 17.42 17.45  9.97 18.29 16.47 15.59 21.19 12.63 16.47 12.63 
#>   110   188   171   113   192   194 159.1 113.1    23    26    88  25.2   150 
#> 17.56 16.16 16.57 22.86 16.44 22.40 10.55 22.86 16.92 15.77 18.37  6.32 20.33 
#>    49   107  96.1    42  77.1  26.1  45.1    79    61  61.1  99.1  61.2    90 
#> 12.19 11.18 14.54 12.43  7.27 15.77 17.42 16.23 10.12 10.12 21.19 10.12 20.94 
#>   168   183   128   164 111.1     8    92    76    14 140.1   133   177  26.2 
#> 23.72  9.24 20.35 23.60 17.45 18.43 22.92 19.22 12.89 12.68 14.65 12.53 15.77 
#>    86   8.1   184 166.2 166.3 139.1    37    97   125  77.2   145    24  99.2 
#> 23.81 18.43 17.77 19.98 19.98 21.49 12.52 19.14 15.65  7.27 10.07 23.89 21.19 
#>  97.1  92.1   175    78    85  86.1   100    58    32   127   105   106    40 
#> 19.14 22.92 21.91 23.88 16.44 23.81 16.07 19.34 20.90  3.53 19.75 16.67 18.00 
#>  45.2    41 140.2    36    28   135   104   152   122     2    44 152.1   126 
#> 17.42 18.02 12.68 21.19 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178    95   185    21   165   141    12   103    80 122.1 126.1    20   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98   196   200    94   116 126.2  21.1   172    53   137    27 137.1   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35   176    64    75 165.1  12.1  27.1   182  20.1   118    22    54  12.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1    11    17   151 151.1   138    65   102 178.1    48    31    19 104.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   191    67  31.1   1.1  44.1    84     9    83    38  54.1  95.1   163  83.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    82     3  12.3     7 182.1  65.1   156 118.1 182.2   109  95.2 118.2  44.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[91]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.007865294               1.061666632               0.498004904 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.554372294             0.009640563             0.374219515 
#>   grade_iii, Cure model 
#>             0.517328881 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 145   10.07      1  65        1         0
#> 154   12.63      1  20        1         0
#> 100   16.07      1  60        0         0
#> 100.1 16.07      1  60        0         0
#> 43    12.10      1  61        0         1
#> 24    23.89      1  38        0         0
#> 60    13.15      1  38        1         0
#> 166   19.98      1  48        0         0
#> 91     5.33      1  61        0         1
#> 124    9.73      1  NA        1         0
#> 42    12.43      1  49        0         1
#> 108   18.29      1  39        0         1
#> 117   17.46      1  26        0         1
#> 76    19.22      1  54        0         1
#> 177   12.53      1  75        0         0
#> 175   21.91      1  43        0         0
#> 158   20.14      1  74        1         0
#> 37    12.52      1  57        1         0
#> 133   14.65      1  57        0         0
#> 110   17.56      1  65        0         1
#> 129   23.41      1  53        1         0
#> 145.1 10.07      1  65        1         0
#> 134   17.81      1  47        1         0
#> 13    14.34      1  54        0         1
#> 105   19.75      1  60        0         0
#> 113   22.86      1  34        0         0
#> 136   21.83      1  43        0         1
#> 68    20.62      1  44        0         0
#> 91.1   5.33      1  61        0         1
#> 154.1 12.63      1  20        1         0
#> 89    11.44      1  NA        0         0
#> 175.1 21.91      1  43        0         0
#> 50    10.02      1  NA        1         0
#> 124.1  9.73      1  NA        1         0
#> 145.2 10.07      1  65        1         0
#> 40    18.00      1  28        1         0
#> 192   16.44      1  31        1         0
#> 164   23.60      1  76        0         1
#> 92    22.92      1  47        0         1
#> 111   17.45      1  47        0         1
#> 180   14.82      1  37        0         0
#> 96    14.54      1  33        0         1
#> 90    20.94      1  50        0         1
#> 49    12.19      1  48        1         0
#> 6     15.64      1  39        0         0
#> 106   16.67      1  49        1         0
#> 140   12.68      1  59        1         0
#> 149    8.37      1  33        1         0
#> 124.2  9.73      1  NA        1         0
#> 99    21.19      1  38        0         1
#> 158.1 20.14      1  74        1         0
#> 154.2 12.63      1  20        1         0
#> 110.1 17.56      1  65        0         1
#> 56    12.21      1  60        0         0
#> 90.1  20.94      1  50        0         1
#> 140.1 12.68      1  59        1         0
#> 164.1 23.60      1  76        0         1
#> 168   23.72      1  70        0         0
#> 154.3 12.63      1  20        1         0
#> 42.1  12.43      1  49        0         1
#> 199   19.81      1  NA        0         1
#> 93    10.33      1  52        0         1
#> 96.1  14.54      1  33        0         1
#> 197   21.60      1  69        1         0
#> 68.1  20.62      1  44        0         0
#> 127    3.53      1  62        0         1
#> 136.1 21.83      1  43        0         1
#> 63    22.77      1  31        1         0
#> 78    23.88      1  43        0         0
#> 59    10.16      1  NA        1         0
#> 96.2  14.54      1  33        0         1
#> 140.2 12.68      1  59        1         0
#> 96.3  14.54      1  33        0         1
#> 199.1 19.81      1  NA        0         1
#> 117.1 17.46      1  26        0         1
#> 145.3 10.07      1  65        1         0
#> 180.1 14.82      1  37        0         0
#> 96.4  14.54      1  33        0         1
#> 101    9.97      1  10        0         1
#> 111.1 17.45      1  47        0         1
#> 79    16.23      1  54        1         0
#> 108.1 18.29      1  39        0         1
#> 58    19.34      1  39        0         0
#> 169   22.41      1  46        0         0
#> 26    15.77      1  49        0         1
#> 134.1 17.81      1  47        1         0
#> 42.2  12.43      1  49        0         1
#> 14    12.89      1  21        0         0
#> 168.1 23.72      1  70        0         0
#> 150   20.33      1  48        0         0
#> 60.1  13.15      1  38        1         0
#> 15    22.68      1  48        0         0
#> 86    23.81      1  58        0         1
#> 96.5  14.54      1  33        0         1
#> 69    23.23      1  25        0         1
#> 164.2 23.60      1  76        0         1
#> 10    10.53      1  34        0         0
#> 58.1  19.34      1  39        0         0
#> 195   11.76      1  NA        1         0
#> 106.1 16.67      1  49        1         0
#> 96.6  14.54      1  33        0         1
#> 4     17.64      1  NA        0         1
#> 107   11.18      1  54        1         0
#> 175.2 21.91      1  43        0         0
#> 69.1  23.23      1  25        0         1
#> 26.1  15.77      1  49        0         1
#> 24.1  23.89      1  38        0         0
#> 194   22.40      1  38        0         1
#> 125   15.65      1  67        1         0
#> 43.1  12.10      1  61        0         1
#> 187    9.92      1  39        1         0
#> 85    16.44      1  36        0         0
#> 109   24.00      0  48        0         0
#> 31    24.00      0  36        0         1
#> 7     24.00      0  37        1         0
#> 71    24.00      0  51        0         0
#> 172   24.00      0  41        0         0
#> 156   24.00      0  50        1         0
#> 135   24.00      0  58        1         0
#> 115   24.00      0  NA        1         0
#> 94    24.00      0  51        0         1
#> 2     24.00      0   9        0         0
#> 9     24.00      0  31        1         0
#> 182   24.00      0  35        0         0
#> 132   24.00      0  55        0         0
#> 142   24.00      0  53        0         0
#> 122   24.00      0  66        0         0
#> 98    24.00      0  34        1         0
#> 115.1 24.00      0  NA        1         0
#> 193   24.00      0  45        0         1
#> 131   24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 75    24.00      0  21        1         0
#> 196   24.00      0  19        0         0
#> 193.1 24.00      0  45        0         1
#> 48    24.00      0  31        1         0
#> 143   24.00      0  51        0         0
#> 48.1  24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 148   24.00      0  61        1         0
#> 82    24.00      0  34        0         0
#> 104   24.00      0  50        1         0
#> 94.1  24.00      0  51        0         1
#> 112   24.00      0  61        0         0
#> 1     24.00      0  23        1         0
#> 12    24.00      0  63        0         0
#> 163   24.00      0  66        0         0
#> 182.1 24.00      0  35        0         0
#> 193.2 24.00      0  45        0         1
#> 19    24.00      0  57        0         1
#> 67    24.00      0  25        0         0
#> 191   24.00      0  60        0         1
#> 185   24.00      0  44        1         0
#> 120   24.00      0  68        0         1
#> 31.1  24.00      0  36        0         1
#> 74    24.00      0  43        0         1
#> 46    24.00      0  71        0         0
#> 182.2 24.00      0  35        0         0
#> 102   24.00      0  49        0         0
#> 35    24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 120.1 24.00      0  68        0         1
#> 102.1 24.00      0  49        0         0
#> 193.3 24.00      0  45        0         1
#> 178   24.00      0  52        1         0
#> 131.1 24.00      0  66        0         0
#> 1.1   24.00      0  23        1         0
#> 198   24.00      0  66        0         1
#> 74.1  24.00      0  43        0         1
#> 176   24.00      0  43        0         1
#> 191.1 24.00      0  60        0         1
#> 1.2   24.00      0  23        1         0
#> 28    24.00      0  67        1         0
#> 64    24.00      0  43        0         0
#> 17.1  24.00      0  38        0         1
#> 143.1 24.00      0  51        0         0
#> 200   24.00      0  64        0         0
#> 191.2 24.00      0  60        0         1
#> 9.1   24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 65    24.00      0  57        1         0
#> 126   24.00      0  48        0         0
#> 135.1 24.00      0  58        1         0
#> 112.1 24.00      0  61        0         0
#> 21    24.00      0  47        0         0
#> 144   24.00      0  28        0         1
#> 84    24.00      0  39        0         1
#> 53    24.00      0  32        0         1
#> 185.1 24.00      0  44        1         0
#> 17.2  24.00      0  38        0         1
#> 38    24.00      0  31        1         0
#> 172.1 24.00      0  41        0         0
#> 141   24.00      0  44        1         0
#> 137   24.00      0  45        1         0
#> 176.1 24.00      0  43        0         1
#> 54    24.00      0  53        1         0
#> 173   24.00      0  19        0         1
#> 21.1  24.00      0  47        0         0
#> 31.2  24.00      0  36        0         1
#> 115.2 24.00      0  NA        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.554          NA        NA      NA
#> 2 age, Cure model          0.00964        NA        NA      NA
#> 3 grade_ii, Cure model     0.374          NA        NA      NA
#> 4 grade_iii, Cure model    0.517          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00787        NA        NA      NA
#> 2 grade_ii, Survival model   1.06           NA        NA      NA
#> 3 grade_iii, Survival model  0.498          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.554372          0.009641          0.374220          0.517329  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.1 
#> Residual Deviance: 253.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.554372294      0.009640563      0.374219515      0.517328881 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.007865294      1.061666632      0.498004904 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.923028774 0.793725631 0.584817951 0.584817951 0.882843082 0.005519037
#>   [7] 0.741001016 0.368654119 0.977121682 0.842420069 0.424124099 0.497367150
#>  [13] 0.412899305 0.826023964 0.214051162 0.347242684 0.834256117 0.660010746
#>  [19] 0.477066299 0.109730070 0.923028774 0.456776932 0.731774952 0.379621634
#>  [25] 0.157192783 0.247562653 0.313917000 0.977121682 0.793725631 0.214051162
#>  [31] 0.923028774 0.446035702 0.556534221 0.071947138 0.145426785 0.517389372
#>  [37] 0.641212410 0.669527130 0.292346179 0.874754820 0.631813436 0.537306161
#>  [43] 0.767818735 0.969473072 0.281262476 0.347242684 0.793725631 0.477066299
#>  [49] 0.866592442 0.292346179 0.767818735 0.071947138 0.045631037 0.793725631
#>  [55] 0.842420069 0.914998038 0.669527130 0.270081766 0.313917000 0.992354666
#>  [61] 0.247562653 0.169169461 0.021254165 0.669527130 0.767818735 0.669527130
#>  [67] 0.497367150 0.923028774 0.641212410 0.669527130 0.953955357 0.517389372
#>  [73] 0.575429755 0.424124099 0.390709674 0.191369485 0.603669530 0.456776932
#>  [79] 0.842420069 0.758833377 0.045631037 0.335930769 0.741001016 0.180161885
#>  [85] 0.033510382 0.669527130 0.122605680 0.071947138 0.906960737 0.390709674
#>  [91] 0.537306161 0.669527130 0.898940114 0.214051162 0.122605680 0.603669530
#>  [97] 0.005519037 0.202780094 0.622451255 0.882843082 0.961749499 0.556534221
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   145   154   100 100.1    43    24    60   166    91    42   108   117    76 
#> 10.07 12.63 16.07 16.07 12.10 23.89 13.15 19.98  5.33 12.43 18.29 17.46 19.22 
#>   177   175   158    37   133   110   129 145.1   134    13   105   113   136 
#> 12.53 21.91 20.14 12.52 14.65 17.56 23.41 10.07 17.81 14.34 19.75 22.86 21.83 
#>    68  91.1 154.1 175.1 145.2    40   192   164    92   111   180    96    90 
#> 20.62  5.33 12.63 21.91 10.07 18.00 16.44 23.60 22.92 17.45 14.82 14.54 20.94 
#>    49     6   106   140   149    99 158.1 154.2 110.1    56  90.1 140.1 164.1 
#> 12.19 15.64 16.67 12.68  8.37 21.19 20.14 12.63 17.56 12.21 20.94 12.68 23.60 
#>   168 154.3  42.1    93  96.1   197  68.1   127 136.1    63    78  96.2 140.2 
#> 23.72 12.63 12.43 10.33 14.54 21.60 20.62  3.53 21.83 22.77 23.88 14.54 12.68 
#>  96.3 117.1 145.3 180.1  96.4   101 111.1    79 108.1    58   169    26 134.1 
#> 14.54 17.46 10.07 14.82 14.54  9.97 17.45 16.23 18.29 19.34 22.41 15.77 17.81 
#>  42.2    14 168.1   150  60.1    15    86  96.5    69 164.2    10  58.1 106.1 
#> 12.43 12.89 23.72 20.33 13.15 22.68 23.81 14.54 23.23 23.60 10.53 19.34 16.67 
#>  96.6   107 175.2  69.1  26.1  24.1   194   125  43.1   187    85   109    31 
#> 14.54 11.18 21.91 23.23 15.77 23.89 22.40 15.65 12.10  9.92 16.44 24.00 24.00 
#>     7    71   172   156   135    94     2     9   182   132   142   122    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193   131    87    75   196 193.1    48   143  48.1    11   148    82   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.1   112     1    12   163 182.1 193.2    19    67   191   185   120  31.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    74    46 182.2   102    35    17 120.1 102.1 193.3   178 131.1   1.1   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  74.1   176 191.1   1.2    28    64  17.1 143.1   200 191.2   9.1    65   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.1 112.1    21   144    84    53 185.1  17.2    38 172.1   141   137 176.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54   173  21.1  31.2 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[92]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01017967                0.31270495                0.02469452 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -1.8534842               0.0308903               0.5823427 
#>   grade_iii, Cure model 
#>               1.2763854 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 60    13.15      1  38        1         0
#> 175   21.91      1  43        0         0
#> 190   20.81      1  42        1         0
#> 171   16.57      1  41        0         1
#> 197   21.60      1  69        1         0
#> 79    16.23      1  54        1         0
#> 188   16.16      1  46        0         1
#> 153   21.33      1  55        1         0
#> 32    20.90      1  37        1         0
#> 37    12.52      1  57        1         0
#> 68    20.62      1  44        0         0
#> 49    12.19      1  48        1         0
#> 108   18.29      1  39        0         1
#> 50    10.02      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 49.1  12.19      1  48        1         0
#> 192   16.44      1  31        1         0
#> 195   11.76      1  NA        1         0
#> 93    10.33      1  52        0         1
#> 167.1 15.55      1  56        1         0
#> 164   23.60      1  76        0         1
#> 13    14.34      1  54        0         1
#> 43    12.10      1  61        0         1
#> 4     17.64      1  NA        0         1
#> 69    23.23      1  25        0         1
#> 111   17.45      1  47        0         1
#> 6     15.64      1  39        0         0
#> 197.1 21.60      1  69        1         0
#> 70     7.38      1  30        1         0
#> 86    23.81      1  58        0         1
#> 39    15.59      1  37        0         1
#> 85    16.44      1  36        0         0
#> 57    14.46      1  45        0         1
#> 37.1  12.52      1  57        1         0
#> 136   21.83      1  43        0         1
#> 30    17.43      1  78        0         0
#> 16     8.71      1  71        0         1
#> 51    18.23      1  83        0         1
#> 88    18.37      1  47        0         0
#> 123   13.00      1  44        1         0
#> 23    16.92      1  61        0         0
#> 184   17.77      1  38        0         0
#> 107   11.18      1  54        1         0
#> 56    12.21      1  60        0         0
#> 96    14.54      1  33        0         1
#> 88.1  18.37      1  47        0         0
#> 153.1 21.33      1  55        1         0
#> 110   17.56      1  65        0         1
#> 155   13.08      1  26        0         0
#> 42    12.43      1  49        0         1
#> 181   16.46      1  45        0         1
#> 96.1  14.54      1  33        0         1
#> 197.2 21.60      1  69        1         0
#> 42.1  12.43      1  49        0         1
#> 77     7.27      1  67        0         1
#> 93.1  10.33      1  52        0         1
#> 78    23.88      1  43        0         0
#> 97    19.14      1  65        0         1
#> 140   12.68      1  59        1         0
#> 91     5.33      1  61        0         1
#> 14    12.89      1  21        0         0
#> 55    19.34      1  69        0         1
#> 180   14.82      1  37        0         0
#> 6.1   15.64      1  39        0         0
#> 56.1  12.21      1  60        0         0
#> 180.1 14.82      1  37        0         0
#> 49.2  12.19      1  48        1         0
#> 50.1  10.02      1  NA        1         0
#> 101    9.97      1  10        0         1
#> 88.2  18.37      1  47        0         0
#> 123.1 13.00      1  44        1         0
#> 134   17.81      1  47        1         0
#> 55.1  19.34      1  69        0         1
#> 69.1  23.23      1  25        0         1
#> 92    22.92      1  47        0         1
#> 106   16.67      1  49        1         0
#> 111.1 17.45      1  47        0         1
#> 61    10.12      1  36        0         1
#> 50.2  10.02      1  NA        1         0
#> 140.1 12.68      1  59        1         0
#> 4.1   17.64      1  NA        0         1
#> 164.1 23.60      1  76        0         1
#> 136.1 21.83      1  43        0         1
#> 36    21.19      1  48        0         1
#> 189   10.51      1  NA        1         0
#> 49.3  12.19      1  48        1         0
#> 180.2 14.82      1  37        0         0
#> 153.2 21.33      1  55        1         0
#> 192.1 16.44      1  31        1         0
#> 52    10.42      1  52        0         1
#> 114   13.68      1  NA        0         0
#> 89    11.44      1  NA        0         0
#> 134.1 17.81      1  47        1         0
#> 25     6.32      1  34        1         0
#> 197.3 21.60      1  69        1         0
#> 89.1  11.44      1  NA        0         0
#> 32.1  20.90      1  37        1         0
#> 81    14.06      1  34        0         0
#> 26    15.77      1  49        0         1
#> 24    23.89      1  38        0         0
#> 29    15.45      1  68        1         0
#> 39.1  15.59      1  37        0         1
#> 56.2  12.21      1  60        0         0
#> 30.1  17.43      1  78        0         0
#> 89.2  11.44      1  NA        0         0
#> 23.1  16.92      1  61        0         0
#> 199   19.81      1  NA        0         1
#> 86.1  23.81      1  58        0         1
#> 199.1 19.81      1  NA        0         1
#> 96.2  14.54      1  33        0         1
#> 6.2   15.64      1  39        0         0
#> 10    10.53      1  34        0         0
#> 17    24.00      0  38        0         1
#> 174   24.00      0  49        1         0
#> 34    24.00      0  36        0         0
#> 84    24.00      0  39        0         1
#> 132   24.00      0  55        0         0
#> 84.1  24.00      0  39        0         1
#> 102   24.00      0  49        0         0
#> 172   24.00      0  41        0         0
#> 161   24.00      0  45        0         0
#> 163   24.00      0  66        0         0
#> 165   24.00      0  47        0         0
#> 142   24.00      0  53        0         0
#> 21    24.00      0  47        0         0
#> 48    24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 196   24.00      0  19        0         0
#> 22    24.00      0  52        1         0
#> 143   24.00      0  51        0         0
#> 87    24.00      0  27        0         0
#> 103   24.00      0  56        1         0
#> 44    24.00      0  56        0         0
#> 46    24.00      0  71        0         0
#> 31    24.00      0  36        0         1
#> 87.1  24.00      0  27        0         0
#> 116   24.00      0  58        0         1
#> 35    24.00      0  51        0         0
#> 193   24.00      0  45        0         1
#> 144   24.00      0  28        0         1
#> 112   24.00      0  61        0         0
#> 119   24.00      0  17        0         0
#> 115   24.00      0  NA        1         0
#> 196.1 24.00      0  19        0         0
#> 11    24.00      0  42        0         1
#> 35.1  24.00      0  51        0         0
#> 22.1  24.00      0  52        1         0
#> 138   24.00      0  44        1         0
#> 2     24.00      0   9        0         0
#> 3     24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 48.1  24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 141   24.00      0  44        1         0
#> 109   24.00      0  48        0         0
#> 67    24.00      0  25        0         0
#> 151   24.00      0  42        0         0
#> 75    24.00      0  21        1         0
#> 84.2  24.00      0  39        0         1
#> 132.1 24.00      0  55        0         0
#> 109.1 24.00      0  48        0         0
#> 182   24.00      0  35        0         0
#> 118   24.00      0  44        1         0
#> 112.1 24.00      0  61        0         0
#> 112.2 24.00      0  61        0         0
#> 122   24.00      0  66        0         0
#> 94    24.00      0  51        0         1
#> 31.1  24.00      0  36        0         1
#> 87.2  24.00      0  27        0         0
#> 178   24.00      0  52        1         0
#> 48.2  24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 44.1  24.00      0  56        0         0
#> 118.1 24.00      0  44        1         0
#> 141.1 24.00      0  44        1         0
#> 67.1  24.00      0  25        0         0
#> 161.1 24.00      0  45        0         0
#> 28    24.00      0  67        1         0
#> 121   24.00      0  57        1         0
#> 186   24.00      0  45        1         0
#> 116.1 24.00      0  58        0         1
#> 94.1  24.00      0  51        0         1
#> 165.1 24.00      0  47        0         0
#> 142.1 24.00      0  53        0         0
#> 141.2 24.00      0  44        1         0
#> 98    24.00      0  34        1         0
#> 94.2  24.00      0  51        0         1
#> 186.1 24.00      0  45        1         0
#> 1.1   24.00      0  23        1         0
#> 67.2  24.00      0  25        0         0
#> 148   24.00      0  61        1         0
#> 44.2  24.00      0  56        0         0
#> 109.2 24.00      0  48        0         0
#> 186.2 24.00      0  45        1         0
#> 94.3  24.00      0  51        0         1
#> 67.3  24.00      0  25        0         0
#> 47    24.00      0  38        0         1
#> 173   24.00      0  19        0         1
#> 1.2   24.00      0  23        1         0
#> 138.1 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.85          NA        NA      NA
#> 2 age, Cure model           0.0309        NA        NA      NA
#> 3 grade_ii, Cure model      0.582         NA        NA      NA
#> 4 grade_iii, Cure model     1.28          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0102        NA        NA      NA
#> 2 grade_ii, Survival model    0.313         NA        NA      NA
#> 3 grade_iii, Survival model   0.0247        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.85348           0.03089           0.58234           1.27639  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.6 
#> Residual Deviance: 235.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -1.8534842        0.0308903        0.5823427        1.2763854 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01017967       0.31270495       0.02469452 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.584240313 0.032406593 0.113663770 0.299565310 0.049444673 0.352114969
#>   [7] 0.362947569 0.072884227 0.099612750 0.672654509 0.120971722 0.764012608
#>  [13] 0.176378206 0.440940254 0.764012608 0.320803690 0.872135643 0.440940254
#>  [19] 0.010107577 0.559259432 0.817017725 0.018181940 0.230210775 0.384969402
#>  [25] 0.049444673 0.942572740 0.004483830 0.418152193 0.320803690 0.546921114
#>  [31] 0.672654509 0.038003849 0.249075400 0.928318758 0.185073621 0.151913191
#>  [37] 0.609401192 0.268757210 0.211697346 0.830706404 0.724352476 0.511013361
#>  [43] 0.151913191 0.072884227 0.220862667 0.596789914 0.698322838 0.310120549
#>  [49] 0.511013361 0.049444673 0.698322838 0.956825144 0.872135643 0.002107698
#>  [55] 0.143805200 0.647214152 0.985542970 0.634492860 0.128442709 0.475768718
#>  [61] 0.384969402 0.724352476 0.475768718 0.764012608 0.914173904 0.151913191
#>  [67] 0.609401192 0.194003892 0.128442709 0.018181940 0.027133580 0.289129510
#>  [73] 0.230210775 0.900045277 0.647214152 0.010107577 0.038003849 0.092387572
#>  [79] 0.764012608 0.475768718 0.072884227 0.320803690 0.858244982 0.194003892
#>  [85] 0.971180568 0.049444673 0.099612750 0.571709951 0.373897266 0.000483499
#>  [91] 0.463998924 0.418152193 0.724352476 0.249075400 0.268757210 0.004483830
#>  [97] 0.511013361 0.384969402 0.844442848 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    60   175   190   171   197    79   188   153    32    37    68    49   108 
#> 13.15 21.91 20.81 16.57 21.60 16.23 16.16 21.33 20.90 12.52 20.62 12.19 18.29 
#>   167  49.1   192    93 167.1   164    13    43    69   111     6 197.1    70 
#> 15.55 12.19 16.44 10.33 15.55 23.60 14.34 12.10 23.23 17.45 15.64 21.60  7.38 
#>    86    39    85    57  37.1   136    30    16    51    88   123    23   184 
#> 23.81 15.59 16.44 14.46 12.52 21.83 17.43  8.71 18.23 18.37 13.00 16.92 17.77 
#>   107    56    96  88.1 153.1   110   155    42   181  96.1 197.2  42.1    77 
#> 11.18 12.21 14.54 18.37 21.33 17.56 13.08 12.43 16.46 14.54 21.60 12.43  7.27 
#>  93.1    78    97   140    91    14    55   180   6.1  56.1 180.1  49.2   101 
#> 10.33 23.88 19.14 12.68  5.33 12.89 19.34 14.82 15.64 12.21 14.82 12.19  9.97 
#>  88.2 123.1   134  55.1  69.1    92   106 111.1    61 140.1 164.1 136.1    36 
#> 18.37 13.00 17.81 19.34 23.23 22.92 16.67 17.45 10.12 12.68 23.60 21.83 21.19 
#>  49.3 180.2 153.2 192.1    52 134.1    25 197.3  32.1    81    26    24    29 
#> 12.19 14.82 21.33 16.44 10.42 17.81  6.32 21.60 20.90 14.06 15.77 23.89 15.45 
#>  39.1  56.2  30.1  23.1  86.1  96.2   6.2    10    17   174    34    84   132 
#> 15.59 12.21 17.43 16.92 23.81 14.54 15.64 10.53 24.00 24.00 24.00 24.00 24.00 
#>  84.1   102   172   161   163   165   142    21    48     1   196    22   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87   103    44    46    31  87.1   116    35   193   144   112   119 196.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11  35.1  22.1   138     2     3  48.1   185   141   109    67   151    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  84.2 132.1 109.1   182   118 112.1 112.2   122    94  31.1  87.2   178  48.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33  44.1 118.1 141.1  67.1 161.1    28   121   186 116.1  94.1 165.1 142.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 141.2    98  94.2 186.1   1.1  67.2   148  44.2 109.2 186.2  94.3  67.3    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173   1.2 138.1 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[93]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004859979               0.618639712               0.056480176 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.162304306            -0.003240534             0.446069528 
#>   grade_iii, Cure model 
#>             1.150279315 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 79    16.23      1  54        1         0
#> 175   21.91      1  43        0         0
#> 194   22.40      1  38        0         1
#> 180   14.82      1  37        0         0
#> 145   10.07      1  65        1         0
#> 149    8.37      1  33        1         0
#> 13    14.34      1  54        0         1
#> 140   12.68      1  59        1         0
#> 129   23.41      1  53        1         0
#> 180.1 14.82      1  37        0         0
#> 60    13.15      1  38        1         0
#> 187    9.92      1  39        1         0
#> 36    21.19      1  48        0         1
#> 149.1  8.37      1  33        1         0
#> 92    22.92      1  47        0         1
#> 108   18.29      1  39        0         1
#> 77     7.27      1  67        0         1
#> 49    12.19      1  48        1         0
#> 14    12.89      1  21        0         0
#> 192   16.44      1  31        1         0
#> 91     5.33      1  61        0         1
#> 170   19.54      1  43        0         1
#> 145.1 10.07      1  65        1         0
#> 18    15.21      1  49        1         0
#> 68    20.62      1  44        0         0
#> 166   19.98      1  48        0         0
#> 5     16.43      1  51        0         1
#> 101    9.97      1  10        0         1
#> 180.2 14.82      1  37        0         0
#> 114   13.68      1  NA        0         0
#> 195   11.76      1  NA        1         0
#> 184   17.77      1  38        0         0
#> 107   11.18      1  54        1         0
#> 108.1 18.29      1  39        0         1
#> 134   17.81      1  47        1         0
#> 181   16.46      1  45        0         1
#> 124    9.73      1  NA        1         0
#> 14.1  12.89      1  21        0         0
#> 188   16.16      1  46        0         1
#> 49.1  12.19      1  48        1         0
#> 97    19.14      1  65        0         1
#> 127    3.53      1  62        0         1
#> 181.1 16.46      1  45        0         1
#> 60.1  13.15      1  38        1         0
#> 100   16.07      1  60        0         0
#> 96    14.54      1  33        0         1
#> 81    14.06      1  34        0         0
#> 36.1  21.19      1  48        0         1
#> 4     17.64      1  NA        0         1
#> 96.1  14.54      1  33        0         1
#> 106   16.67      1  49        1         0
#> 32    20.90      1  37        1         0
#> 97.1  19.14      1  65        0         1
#> 16     8.71      1  71        0         1
#> 100.1 16.07      1  60        0         0
#> 52    10.42      1  52        0         1
#> 192.1 16.44      1  31        1         0
#> 123   13.00      1  44        1         0
#> 58    19.34      1  39        0         0
#> 40    18.00      1  28        1         0
#> 91.1   5.33      1  61        0         1
#> 69    23.23      1  25        0         1
#> 85    16.44      1  36        0         0
#> 194.1 22.40      1  38        0         1
#> 128   20.35      1  35        0         1
#> 180.3 14.82      1  37        0         0
#> 188.1 16.16      1  46        0         1
#> 70     7.38      1  30        1         0
#> 6     15.64      1  39        0         0
#> 155   13.08      1  26        0         0
#> 194.2 22.40      1  38        0         1
#> 149.2  8.37      1  33        1         0
#> 5.1   16.43      1  51        0         1
#> 85.1  16.44      1  36        0         0
#> 199   19.81      1  NA        0         1
#> 130   16.47      1  53        0         1
#> 189   10.51      1  NA        1         0
#> 8     18.43      1  32        0         0
#> 91.2   5.33      1  61        0         1
#> 188.2 16.16      1  46        0         1
#> 154   12.63      1  20        1         0
#> 86    23.81      1  58        0         1
#> 78    23.88      1  43        0         0
#> 32.1  20.90      1  37        1         0
#> 129.1 23.41      1  53        1         0
#> 107.1 11.18      1  54        1         0
#> 128.1 20.35      1  35        0         1
#> 52.1  10.42      1  52        0         1
#> 179   18.63      1  42        0         0
#> 56    12.21      1  60        0         0
#> 29    15.45      1  68        1         0
#> 5.2   16.43      1  51        0         1
#> 15    22.68      1  48        0         0
#> 97.2  19.14      1  65        0         1
#> 85.2  16.44      1  36        0         0
#> 76    19.22      1  54        0         1
#> 81.1  14.06      1  34        0         0
#> 187.1  9.92      1  39        1         0
#> 114.1 13.68      1  NA        0         0
#> 99    21.19      1  38        0         1
#> 99.1  21.19      1  38        0         1
#> 108.2 18.29      1  39        0         1
#> 110   17.56      1  65        0         1
#> 168   23.72      1  70        0         0
#> 170.1 19.54      1  43        0         1
#> 100.2 16.07      1  60        0         0
#> 76.1  19.22      1  54        0         1
#> 88    18.37      1  47        0         0
#> 25     6.32      1  34        1         0
#> 169   22.41      1  46        0         0
#> 15.1  22.68      1  48        0         0
#> 189.1 10.51      1  NA        1         0
#> 3     24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 87    24.00      0  27        0         0
#> 182   24.00      0  35        0         0
#> 62    24.00      0  71        0         0
#> 54    24.00      0  53        1         0
#> 144   24.00      0  28        0         1
#> 74    24.00      0  43        0         1
#> 115   24.00      0  NA        1         0
#> 34    24.00      0  36        0         0
#> 64    24.00      0  43        0         0
#> 151   24.00      0  42        0         0
#> 7     24.00      0  37        1         0
#> 162   24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 64.1  24.00      0  43        0         0
#> 71    24.00      0  51        0         0
#> 143   24.00      0  51        0         0
#> 74.1  24.00      0  43        0         1
#> 193   24.00      0  45        0         1
#> 173   24.00      0  19        0         1
#> 156   24.00      0  50        1         0
#> 173.1 24.00      0  19        0         1
#> 94    24.00      0  51        0         1
#> 115.1 24.00      0  NA        1         0
#> 193.1 24.00      0  45        0         1
#> 54.1  24.00      0  53        1         0
#> 75    24.00      0  21        1         0
#> 163   24.00      0  66        0         0
#> 138   24.00      0  44        1         0
#> 67    24.00      0  25        0         0
#> 161   24.00      0  45        0         0
#> 142   24.00      0  53        0         0
#> 146   24.00      0  63        1         0
#> 20    24.00      0  46        1         0
#> 144.1 24.00      0  28        0         1
#> 132   24.00      0  55        0         0
#> 12    24.00      0  63        0         0
#> 1     24.00      0  23        1         0
#> 46    24.00      0  71        0         0
#> 33    24.00      0  53        0         0
#> 143.1 24.00      0  51        0         0
#> 138.1 24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 33.1  24.00      0  53        0         0
#> 74.2  24.00      0  43        0         1
#> 27    24.00      0  63        1         0
#> 80    24.00      0  41        0         0
#> 48    24.00      0  31        1         0
#> 64.2  24.00      0  43        0         0
#> 102   24.00      0  49        0         0
#> 116   24.00      0  58        0         1
#> 152   24.00      0  36        0         1
#> 162.1 24.00      0  51        0         0
#> 162.2 24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 138.2 24.00      0  44        1         0
#> 122   24.00      0  66        0         0
#> 172   24.00      0  41        0         0
#> 12.1  24.00      0  63        0         0
#> 138.3 24.00      0  44        1         0
#> 64.3  24.00      0  43        0         0
#> 48.1  24.00      0  31        1         0
#> 64.4  24.00      0  43        0         0
#> 109   24.00      0  48        0         0
#> 191   24.00      0  60        0         1
#> 72    24.00      0  40        0         1
#> 98    24.00      0  34        1         0
#> 54.2  24.00      0  53        1         0
#> 144.2 24.00      0  28        0         1
#> 198   24.00      0  66        0         1
#> 132.1 24.00      0  55        0         0
#> 102.1 24.00      0  49        0         0
#> 131   24.00      0  66        0         0
#> 152.1 24.00      0  36        0         1
#> 82    24.00      0  34        0         0
#> 74.3  24.00      0  43        0         1
#> 22    24.00      0  52        1         0
#> 138.4 24.00      0  44        1         0
#> 132.2 24.00      0  55        0         0
#> 160   24.00      0  31        1         0
#> 138.5 24.00      0  44        1         0
#> 80.1  24.00      0  41        0         0
#> 200.1 24.00      0  64        0         0
#> 31    24.00      0  36        0         1
#> 7.1   24.00      0  37        1         0
#> 62.1  24.00      0  71        0         0
#> 104   24.00      0  50        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.162          NA        NA      NA
#> 2 age, Cure model         -0.00324        NA        NA      NA
#> 3 grade_ii, Cure model     0.446          NA        NA      NA
#> 4 grade_iii, Cure model    1.15           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00486        NA        NA      NA
#> 2 grade_ii, Survival model   0.619          NA        NA      NA
#> 3 grade_iii, Survival model  0.0565         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.162304         -0.003241          0.446070          1.150279  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 251.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.162304306     -0.003240534      0.446069528      1.150279315 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004859979      0.618639712      0.056480176 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.514292640 0.119569067 0.093106097 0.613296530 0.850134529 0.907300962
#>   [7] 0.672660774 0.762630357 0.033150994 0.613296530 0.702961394 0.878871790
#>  [13] 0.129281832 0.907300962 0.057371345 0.327744459 0.944375317 0.792267336
#>  [19] 0.742806237 0.437685948 0.962959382 0.220641107 0.850134529 0.603325864
#>  [25] 0.183409019 0.211142702 0.485011323 0.869257813 0.613296530 0.377758108
#>  [31] 0.811660767 0.327744459 0.367792302 0.417788953 0.742806237 0.524162693
#>  [37] 0.792267336 0.268349260 0.990659964 0.417788953 0.702961394 0.553469108
#>  [43] 0.652628611 0.682780821 0.129281832 0.652628611 0.397838221 0.165390857
#>  [49] 0.268349260 0.897774202 0.553469108 0.830857959 0.437685948 0.732853109
#>  [55] 0.239454001 0.357695943 0.962959382 0.048733141 0.437685948 0.093106097
#>  [61] 0.192741566 0.613296530 0.524162693 0.935078962 0.583173630 0.722832070
#>  [67] 0.093106097 0.907300962 0.485011323 0.437685948 0.407791356 0.307442598
#>  [73] 0.962959382 0.524162693 0.772556569 0.011576763 0.003375625 0.165390857
#>  [79] 0.033150994 0.811660767 0.192741566 0.830857959 0.297372565 0.782396252
#>  [85] 0.593278320 0.485011323 0.066222254 0.268349260 0.437685948 0.249119783
#>  [91] 0.682780821 0.878871790 0.129281832 0.129281832 0.327744459 0.387768459
#>  [97] 0.021547683 0.220641107 0.553469108 0.249119783 0.317560387 0.953693317
#> [103] 0.083665644 0.066222254 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    79   175   194   180   145   149    13   140   129 180.1    60   187    36 
#> 16.23 21.91 22.40 14.82 10.07  8.37 14.34 12.68 23.41 14.82 13.15  9.92 21.19 
#> 149.1    92   108    77    49    14   192    91   170 145.1    18    68   166 
#>  8.37 22.92 18.29  7.27 12.19 12.89 16.44  5.33 19.54 10.07 15.21 20.62 19.98 
#>     5   101 180.2   184   107 108.1   134   181  14.1   188  49.1    97   127 
#> 16.43  9.97 14.82 17.77 11.18 18.29 17.81 16.46 12.89 16.16 12.19 19.14  3.53 
#> 181.1  60.1   100    96    81  36.1  96.1   106    32  97.1    16 100.1    52 
#> 16.46 13.15 16.07 14.54 14.06 21.19 14.54 16.67 20.90 19.14  8.71 16.07 10.42 
#> 192.1   123    58    40  91.1    69    85 194.1   128 180.3 188.1    70     6 
#> 16.44 13.00 19.34 18.00  5.33 23.23 16.44 22.40 20.35 14.82 16.16  7.38 15.64 
#>   155 194.2 149.2   5.1  85.1   130     8  91.2 188.2   154    86    78  32.1 
#> 13.08 22.40  8.37 16.43 16.44 16.47 18.43  5.33 16.16 12.63 23.81 23.88 20.90 
#> 129.1 107.1 128.1  52.1   179    56    29   5.2    15  97.2  85.2    76  81.1 
#> 23.41 11.18 20.35 10.42 18.63 12.21 15.45 16.43 22.68 19.14 16.44 19.22 14.06 
#> 187.1    99  99.1 108.2   110   168 170.1 100.2  76.1    88    25   169  15.1 
#>  9.92 21.19 21.19 18.29 17.56 23.72 19.54 16.07 19.22 18.37  6.32 22.41 22.68 
#>     3   178    87   182    62    54   144    74    34    64   151     7   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118  64.1    71   143  74.1   193   173   156 173.1    94 193.1  54.1    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163   138    67   161   142   146    20 144.1   132    12     1    46    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 143.1 138.1   200  33.1  74.2    27    80    48  64.2   102   116   152 162.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 162.2     2 138.2   122   172  12.1 138.3  64.3  48.1  64.4   109   191    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98  54.2 144.2   198 132.1 102.1   131 152.1    82  74.3    22 138.4 132.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160 138.5  80.1 200.1    31   7.1  62.1   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[94]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.008195561               0.293063738               0.003025000 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.16481067              0.01634918              0.53159015 
#>   grade_iii, Cure model 
#>              0.99037400 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 51    18.23      1  83        0         1
#> 14    12.89      1  21        0         0
#> 96    14.54      1  33        0         1
#> 89    11.44      1  NA        0         0
#> 51.1  18.23      1  83        0         1
#> 101    9.97      1  10        0         1
#> 51.2  18.23      1  83        0         1
#> 79    16.23      1  54        1         0
#> 105   19.75      1  60        0         0
#> 89.1  11.44      1  NA        0         0
#> 190   20.81      1  42        1         0
#> 55    19.34      1  69        0         1
#> 187    9.92      1  39        1         0
#> 76    19.22      1  54        0         1
#> 36    21.19      1  48        0         1
#> 37    12.52      1  57        1         0
#> 125   15.65      1  67        1         0
#> 41    18.02      1  40        1         0
#> 45    17.42      1  54        0         1
#> 192   16.44      1  31        1         0
#> 154   12.63      1  20        1         0
#> 183    9.24      1  67        1         0
#> 79.1  16.23      1  54        1         0
#> 37.1  12.52      1  57        1         0
#> 130   16.47      1  53        0         1
#> 134   17.81      1  47        1         0
#> 93    10.33      1  52        0         1
#> 25     6.32      1  34        1         0
#> 56    12.21      1  60        0         0
#> 128   20.35      1  35        0         1
#> 23    16.92      1  61        0         0
#> 134.1 17.81      1  47        1         0
#> 101.1  9.97      1  10        0         1
#> 158   20.14      1  74        1         0
#> 59    10.16      1  NA        1         0
#> 183.1  9.24      1  67        1         0
#> 158.1 20.14      1  74        1         0
#> 117   17.46      1  26        0         1
#> 188   16.16      1  46        0         1
#> 50    10.02      1  NA        1         0
#> 154.1 12.63      1  20        1         0
#> 18    15.21      1  49        1         0
#> 88    18.37      1  47        0         0
#> 51.3  18.23      1  83        0         1
#> 85    16.44      1  36        0         0
#> 59.1  10.16      1  NA        1         0
#> 140   12.68      1  59        1         0
#> 155   13.08      1  26        0         0
#> 51.4  18.23      1  83        0         1
#> 136   21.83      1  43        0         1
#> 81    14.06      1  34        0         0
#> 171   16.57      1  41        0         1
#> 68    20.62      1  44        0         0
#> 134.2 17.81      1  47        1         0
#> 37.2  12.52      1  57        1         0
#> 60    13.15      1  38        1         0
#> 171.1 16.57      1  41        0         1
#> 181   16.46      1  45        0         1
#> 183.2  9.24      1  67        1         0
#> 91     5.33      1  61        0         1
#> 4     17.64      1  NA        0         1
#> 4.1   17.64      1  NA        0         1
#> 180   14.82      1  37        0         0
#> 107   11.18      1  54        1         0
#> 139   21.49      1  63        1         0
#> 171.2 16.57      1  41        0         1
#> 51.5  18.23      1  83        0         1
#> 189   10.51      1  NA        1         0
#> 179   18.63      1  42        0         0
#> 25.1   6.32      1  34        1         0
#> 18.1  15.21      1  49        1         0
#> 189.1 10.51      1  NA        1         0
#> 117.1 17.46      1  26        0         1
#> 76.1  19.22      1  54        0         1
#> 130.1 16.47      1  53        0         1
#> 111   17.45      1  47        0         1
#> 199   19.81      1  NA        0         1
#> 192.1 16.44      1  31        1         0
#> 5     16.43      1  51        0         1
#> 89.2  11.44      1  NA        0         0
#> 100   16.07      1  60        0         0
#> 81.1  14.06      1  34        0         0
#> 97    19.14      1  65        0         1
#> 30    17.43      1  78        0         0
#> 199.1 19.81      1  NA        0         1
#> 25.2   6.32      1  34        1         0
#> 130.2 16.47      1  53        0         1
#> 50.1  10.02      1  NA        1         0
#> 192.2 16.44      1  31        1         0
#> 50.2  10.02      1  NA        1         0
#> 32    20.90      1  37        1         0
#> 32.1  20.90      1  37        1         0
#> 24    23.89      1  38        0         0
#> 194   22.40      1  38        0         1
#> 77     7.27      1  67        0         1
#> 183.3  9.24      1  67        1         0
#> 81.2  14.06      1  34        0         0
#> 106   16.67      1  49        1         0
#> 45.1  17.42      1  54        0         1
#> 101.2  9.97      1  10        0         1
#> 79.2  16.23      1  54        1         0
#> 149    8.37      1  33        1         0
#> 106.1 16.67      1  49        1         0
#> 124    9.73      1  NA        1         0
#> 183.4  9.24      1  67        1         0
#> 130.3 16.47      1  53        0         1
#> 170   19.54      1  43        0         1
#> 133   14.65      1  57        0         0
#> 26    15.77      1  49        0         1
#> 29    15.45      1  68        1         0
#> 43    12.10      1  61        0         1
#> 129   23.41      1  53        1         0
#> 119   24.00      0  17        0         0
#> 148   24.00      0  61        1         0
#> 163   24.00      0  66        0         0
#> 73    24.00      0  NA        0         1
#> 122   24.00      0  66        0         0
#> 17    24.00      0  38        0         1
#> 12    24.00      0  63        0         0
#> 161   24.00      0  45        0         0
#> 198   24.00      0  66        0         1
#> 48    24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 47    24.00      0  38        0         1
#> 151   24.00      0  42        0         0
#> 20    24.00      0  46        1         0
#> 94    24.00      0  51        0         1
#> 126   24.00      0  48        0         0
#> 64    24.00      0  43        0         0
#> 3     24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 174   24.00      0  49        1         0
#> 17.1  24.00      0  38        0         1
#> 174.1 24.00      0  49        1         0
#> 17.2  24.00      0  38        0         1
#> 48.1  24.00      0  31        1         0
#> 38    24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 132   24.00      0  55        0         0
#> 120   24.00      0  68        0         1
#> 20.1  24.00      0  46        1         0
#> 11    24.00      0  42        0         1
#> 47.1  24.00      0  38        0         1
#> 137   24.00      0  45        1         0
#> 176   24.00      0  43        0         1
#> 135   24.00      0  58        1         0
#> 38.1  24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 115   24.00      0  NA        1         0
#> 98    24.00      0  34        1         0
#> 116   24.00      0  58        0         1
#> 1     24.00      0  23        1         0
#> 67    24.00      0  25        0         0
#> 200   24.00      0  64        0         0
#> 156   24.00      0  50        1         0
#> 87    24.00      0  27        0         0
#> 115.1 24.00      0  NA        1         0
#> 27    24.00      0  63        1         0
#> 142   24.00      0  53        0         0
#> 161.1 24.00      0  45        0         0
#> 73.1  24.00      0  NA        0         1
#> 163.1 24.00      0  66        0         0
#> 119.1 24.00      0  17        0         0
#> 53    24.00      0  32        0         1
#> 22    24.00      0  52        1         0
#> 138   24.00      0  44        1         0
#> 144   24.00      0  28        0         1
#> 118   24.00      0  44        1         0
#> 165   24.00      0  47        0         0
#> 138.1 24.00      0  44        1         0
#> 3.1   24.00      0  31        1         0
#> 38.2  24.00      0  31        1         0
#> 38.3  24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 198.1 24.00      0  66        0         1
#> 156.1 24.00      0  50        1         0
#> 165.1 24.00      0  47        0         0
#> 65    24.00      0  57        1         0
#> 186   24.00      0  45        1         0
#> 116.1 24.00      0  58        0         1
#> 198.2 24.00      0  66        0         1
#> 31    24.00      0  36        0         1
#> 3.2   24.00      0  31        1         0
#> 148.1 24.00      0  61        1         0
#> 83    24.00      0   6        0         0
#> 20.2  24.00      0  46        1         0
#> 185   24.00      0  44        1         0
#> 196   24.00      0  19        0         0
#> 103   24.00      0  56        1         0
#> 119.2 24.00      0  17        0         0
#> 137.1 24.00      0  45        1         0
#> 27.1  24.00      0  63        1         0
#> 174.2 24.00      0  49        1         0
#> 141   24.00      0  44        1         0
#> 151.1 24.00      0  42        0         0
#> 35    24.00      0  51        0         0
#> 151.2 24.00      0  42        0         0
#> 73.2  24.00      0  NA        0         1
#> 144.1 24.00      0  28        0         1
#> 47.2  24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.16          NA        NA      NA
#> 2 age, Cure model           0.0163        NA        NA      NA
#> 3 grade_ii, Cure model      0.532         NA        NA      NA
#> 4 grade_iii, Cure model     0.990         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00820        NA        NA      NA
#> 2 grade_ii, Survival model   0.293          NA        NA      NA
#> 3 grade_iii, Survival model  0.00302        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.16481           0.01635           0.53159           0.99037  
#> 
#> Degrees of Freedom: 179 Total (i.e. Null);  176 Residual
#> Null Deviance:	    248.4 
#> Residual Deviance: 239.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.16481067       0.01634918       0.53159015       0.99037400 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.008195561      0.293063738      0.003025000 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.131861708 0.667889826 0.593888838 0.131861708 0.806379623 0.131861708
#>   [7] 0.452125241 0.071723746 0.040865629 0.085594607 0.844587158 0.092877807
#>  [13] 0.024072401 0.717899941 0.521592742 0.182185324 0.258603444 0.396682303
#>  [19] 0.693050926 0.857525225 0.452125241 0.717899941 0.341937322 0.191758708
#>  [25] 0.793484402 0.947687290 0.755155759 0.052844738 0.278970294 0.191758708
#>  [31] 0.806379623 0.059130912 0.857525225 0.059130912 0.219421827 0.486161329
#>  [37] 0.693050926 0.545592775 0.123629335 0.131861708 0.396682303 0.680450203
#>  [43] 0.655366692 0.131861708 0.013353253 0.606191727 0.310332427 0.046738673
#>  [49] 0.191758708 0.717899941 0.642889320 0.310332427 0.385259681 0.857525225
#>  [55] 0.986738050 0.569497545 0.780661084 0.018553676 0.310332427 0.131861708
#>  [61] 0.115568684 0.947687290 0.545592775 0.219421827 0.092877807 0.341937322
#>  [67] 0.238587711 0.396682303 0.440606621 0.497869587 0.606191727 0.107668654
#>  [73] 0.248500389 0.947687290 0.341937322 0.396682303 0.030037531 0.030037531
#>  [79] 0.001189348 0.008701879 0.934479433 0.857525225 0.606191727 0.289500824
#>  [85] 0.258603444 0.806379623 0.452125241 0.921349665 0.289500824 0.857525225
#>  [91] 0.341937322 0.078568789 0.581645472 0.509685791 0.533561420 0.767866952
#>  [97] 0.004658919 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    51    14    96  51.1   101  51.2    79   105   190    55   187    76    36 
#> 18.23 12.89 14.54 18.23  9.97 18.23 16.23 19.75 20.81 19.34  9.92 19.22 21.19 
#>    37   125    41    45   192   154   183  79.1  37.1   130   134    93    25 
#> 12.52 15.65 18.02 17.42 16.44 12.63  9.24 16.23 12.52 16.47 17.81 10.33  6.32 
#>    56   128    23 134.1 101.1   158 183.1 158.1   117   188 154.1    18    88 
#> 12.21 20.35 16.92 17.81  9.97 20.14  9.24 20.14 17.46 16.16 12.63 15.21 18.37 
#>  51.3    85   140   155  51.4   136    81   171    68 134.2  37.2    60 171.1 
#> 18.23 16.44 12.68 13.08 18.23 21.83 14.06 16.57 20.62 17.81 12.52 13.15 16.57 
#>   181 183.2    91   180   107   139 171.2  51.5   179  25.1  18.1 117.1  76.1 
#> 16.46  9.24  5.33 14.82 11.18 21.49 16.57 18.23 18.63  6.32 15.21 17.46 19.22 
#> 130.1   111 192.1     5   100  81.1    97    30  25.2 130.2 192.2    32  32.1 
#> 16.47 17.45 16.44 16.43 16.07 14.06 19.14 17.43  6.32 16.47 16.44 20.90 20.90 
#>    24   194    77 183.3  81.2   106  45.1 101.2  79.2   149 106.1 183.4 130.3 
#> 23.89 22.40  7.27  9.24 14.06 16.67 17.42  9.97 16.23  8.37 16.67  9.24 16.47 
#>   170   133    26    29    43   129   119   148   163   122    17    12   161 
#> 19.54 14.65 15.77 15.45 12.10 23.41 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198    48   152    47   151    20    94   126    64     3     7   174  17.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 174.1  17.2  48.1    38    95   132   120  20.1    11  47.1   137   176   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  38.1    46    98   116     1    67   200   156    87    27   142 161.1 163.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.1    53    22   138   144   118   165 138.1   3.1  38.2  38.3    62 198.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 156.1 165.1    65   186 116.1 198.2    31   3.2 148.1    83  20.2   185   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103 119.2 137.1  27.1 174.2   141 151.1    35 151.2 144.1  47.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[95]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00998974                1.27900408                0.58667662 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.43967435              0.02498677              0.44624207 
#>   grade_iii, Cure model 
#>              0.90902856 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 105   19.75      1  60        0         0
#> 100   16.07      1  60        0         0
#> 179   18.63      1  42        0         0
#> 32    20.90      1  37        1         0
#> 187    9.92      1  39        1         0
#> 183    9.24      1  67        1         0
#> 60    13.15      1  38        1         0
#> 153   21.33      1  55        1         0
#> 68    20.62      1  44        0         0
#> 45    17.42      1  54        0         1
#> 139   21.49      1  63        1         0
#> 15    22.68      1  48        0         0
#> 6     15.64      1  39        0         0
#> 96    14.54      1  33        0         1
#> 14    12.89      1  21        0         0
#> 183.1  9.24      1  67        1         0
#> 76    19.22      1  54        0         1
#> 24    23.89      1  38        0         0
#> 107   11.18      1  54        1         0
#> 78    23.88      1  43        0         0
#> 170   19.54      1  43        0         1
#> 195   11.76      1  NA        1         0
#> 105.1 19.75      1  60        0         0
#> 4     17.64      1  NA        0         1
#> 134   17.81      1  47        1         0
#> 97    19.14      1  65        0         1
#> 170.1 19.54      1  43        0         1
#> 140   12.68      1  59        1         0
#> 105.2 19.75      1  60        0         0
#> 57    14.46      1  45        0         1
#> 41    18.02      1  40        1         0
#> 183.2  9.24      1  67        1         0
#> 189   10.51      1  NA        1         0
#> 61    10.12      1  36        0         1
#> 60.1  13.15      1  38        1         0
#> 107.1 11.18      1  54        1         0
#> 106   16.67      1  49        1         0
#> 51    18.23      1  83        0         1
#> 183.3  9.24      1  67        1         0
#> 97.1  19.14      1  65        0         1
#> 150   20.33      1  48        0         0
#> 188   16.16      1  46        0         1
#> 183.4  9.24      1  67        1         0
#> 76.1  19.22      1  54        0         1
#> 51.1  18.23      1  83        0         1
#> 167   15.55      1  56        1         0
#> 36    21.19      1  48        0         1
#> 170.2 19.54      1  43        0         1
#> 15.1  22.68      1  48        0         0
#> 101    9.97      1  10        0         1
#> 52    10.42      1  52        0         1
#> 133   14.65      1  57        0         0
#> 60.2  13.15      1  38        1         0
#> 111   17.45      1  47        0         1
#> 15.2  22.68      1  48        0         0
#> 108   18.29      1  39        0         1
#> 37    12.52      1  57        1         0
#> 6.1   15.64      1  39        0         0
#> 14.1  12.89      1  21        0         0
#> 110   17.56      1  65        0         1
#> 154   12.63      1  20        1         0
#> 175   21.91      1  43        0         0
#> 125   15.65      1  67        1         0
#> 164   23.60      1  76        0         1
#> 55    19.34      1  69        0         1
#> 188.1 16.16      1  46        0         1
#> 45.1  17.42      1  54        0         1
#> 187.1  9.92      1  39        1         0
#> 23    16.92      1  61        0         0
#> 29    15.45      1  68        1         0
#> 96.1  14.54      1  33        0         1
#> 169   22.41      1  46        0         0
#> 85    16.44      1  36        0         0
#> 18    15.21      1  49        1         0
#> 168   23.72      1  70        0         0
#> 114   13.68      1  NA        0         0
#> 167.1 15.55      1  56        1         0
#> 130   16.47      1  53        0         1
#> 56    12.21      1  60        0         0
#> 32.1  20.90      1  37        1         0
#> 15.3  22.68      1  48        0         0
#> 30    17.43      1  78        0         0
#> 16     8.71      1  71        0         1
#> 158   20.14      1  74        1         0
#> 124    9.73      1  NA        1         0
#> 51.2  18.23      1  83        0         1
#> 158.1 20.14      1  74        1         0
#> 66    22.13      1  53        0         0
#> 16.1   8.71      1  71        0         1
#> 92    22.92      1  47        0         1
#> 169.1 22.41      1  46        0         0
#> 168.1 23.72      1  70        0         0
#> 39    15.59      1  37        0         1
#> 107.2 11.18      1  54        1         0
#> 76.2  19.22      1  54        0         1
#> 77     7.27      1  67        0         1
#> 15.4  22.68      1  48        0         0
#> 145   10.07      1  65        1         0
#> 6.2   15.64      1  39        0         0
#> 30.1  17.43      1  78        0         0
#> 167.2 15.55      1  56        1         0
#> 106.1 16.67      1  49        1         0
#> 93    10.33      1  52        0         1
#> 164.1 23.60      1  76        0         1
#> 117   17.46      1  26        0         1
#> 86    23.81      1  58        0         1
#> 166   19.98      1  48        0         0
#> 92.1  22.92      1  47        0         1
#> 113   22.86      1  34        0         0
#> 158.2 20.14      1  74        1         0
#> 194   22.40      1  38        0         1
#> 149    8.37      1  33        1         0
#> 137   24.00      0  45        1         0
#> 19    24.00      0  57        0         1
#> 38    24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 53    24.00      0  32        0         1
#> 7     24.00      0  37        1         0
#> 109   24.00      0  48        0         0
#> 62    24.00      0  71        0         0
#> 191   24.00      0  60        0         1
#> 11    24.00      0  42        0         1
#> 34    24.00      0  36        0         0
#> 121   24.00      0  57        1         0
#> 34.1  24.00      0  36        0         0
#> 27    24.00      0  63        1         0
#> 116   24.00      0  58        0         1
#> 95    24.00      0  68        0         1
#> 33    24.00      0  53        0         0
#> 200   24.00      0  64        0         0
#> 33.1  24.00      0  53        0         0
#> 173   24.00      0  19        0         1
#> 67    24.00      0  25        0         0
#> 7.1   24.00      0  37        1         0
#> 35    24.00      0  51        0         0
#> 200.1 24.00      0  64        0         0
#> 71    24.00      0  51        0         0
#> 20    24.00      0  46        1         0
#> 98    24.00      0  34        1         0
#> 185   24.00      0  44        1         0
#> 95.1  24.00      0  68        0         1
#> 28    24.00      0  67        1         0
#> 2     24.00      0   9        0         0
#> 98.1  24.00      0  34        1         0
#> 20.1  24.00      0  46        1         0
#> 62.1  24.00      0  71        0         0
#> 173.1 24.00      0  19        0         1
#> 173.2 24.00      0  19        0         1
#> 74    24.00      0  43        0         1
#> 152   24.00      0  36        0         1
#> 98.2  24.00      0  34        1         0
#> 147   24.00      0  76        1         0
#> 131   24.00      0  66        0         0
#> 31    24.00      0  36        0         1
#> 84    24.00      0  39        0         1
#> 172   24.00      0  41        0         0
#> 163   24.00      0  66        0         0
#> 200.2 24.00      0  64        0         0
#> 152.1 24.00      0  36        0         1
#> 185.1 24.00      0  44        1         0
#> 172.1 24.00      0  41        0         0
#> 62.2  24.00      0  71        0         0
#> 64    24.00      0  43        0         0
#> 196   24.00      0  19        0         0
#> 74.1  24.00      0  43        0         1
#> 64.1  24.00      0  43        0         0
#> 200.3 24.00      0  64        0         0
#> 104   24.00      0  50        1         0
#> 147.1 24.00      0  76        1         0
#> 75    24.00      0  21        1         0
#> 46    24.00      0  71        0         0
#> 200.4 24.00      0  64        0         0
#> 34.2  24.00      0  36        0         0
#> 115   24.00      0  NA        1         0
#> 31.1  24.00      0  36        0         1
#> 174   24.00      0  49        1         0
#> 142   24.00      0  53        0         0
#> 83    24.00      0   6        0         0
#> 98.3  24.00      0  34        1         0
#> 122   24.00      0  66        0         0
#> 135   24.00      0  58        1         0
#> 71.1  24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 141   24.00      0  44        1         0
#> 11.1  24.00      0  42        0         1
#> 141.1 24.00      0  44        1         0
#> 162   24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 142.1 24.00      0  53        0         0
#> 35.1  24.00      0  51        0         0
#> 142.2 24.00      0  53        0         0
#> 141.2 24.00      0  44        1         0
#> 21    24.00      0  47        0         0
#> 53.1  24.00      0  32        0         1
#> 174.1 24.00      0  49        1         0
#> 119   24.00      0  17        0         0
#> 20.2  24.00      0  46        1         0
#> 122.1 24.00      0  66        0         0
#> 62.3  24.00      0  71        0         0
#> 151   24.00      0  42        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.44          NA        NA      NA
#> 2 age, Cure model           0.0250        NA        NA      NA
#> 3 grade_ii, Cure model      0.446         NA        NA      NA
#> 4 grade_iii, Cure model     0.909         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00999        NA        NA      NA
#> 2 grade_ii, Survival model   1.28           NA        NA      NA
#> 3 grade_iii, Survival model  0.587          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.43967           0.02499           0.44624           0.90903  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.9 
#> Residual Deviance: 254.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.43967435       0.02498677       0.44624207       0.90902856 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00998974       1.27900408       0.58667662 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.320047912 0.643767313 0.439071510 0.240663240 0.919217780 0.934407817
#>   [7] 0.781154107 0.217016645 0.260811430 0.557713032 0.204419911 0.089546310
#>  [13] 0.662763907 0.754585177 0.806259568 0.934407817 0.389617362 0.001581715
#>  [19] 0.856150540 0.006822488 0.349982224 0.320047912 0.499470021 0.419112318
#>  [25] 0.349982224 0.823151344 0.320047912 0.772273665 0.489506439 0.934407817
#>  [31] 0.895635453 0.781154107 0.856150540 0.587049816 0.459373247 0.934407817
#>  [37] 0.419112318 0.271234086 0.624921791 0.934407817 0.389617362 0.459373247
#>  [43] 0.700602817 0.228874413 0.349982224 0.089546310 0.911405265 0.879764630
#>  [49] 0.745626587 0.781154107 0.528587947 0.089546310 0.449247354 0.839796784
#>  [55] 0.662763907 0.806259568 0.509191829 0.831554953 0.191071157 0.653323594
#>  [61] 0.040276839 0.379488944 0.624921791 0.557713032 0.919217780 0.577164210
#>  [67] 0.727670852 0.754585177 0.140641599 0.615387640 0.736714486 0.022115426
#>  [73] 0.700602817 0.605897902 0.847955887 0.240663240 0.089546310 0.538229062
#>  [79] 0.970697896 0.281811599 0.459373247 0.281811599 0.178040537 0.970697896
#>  [85] 0.059994353 0.140641599 0.022115426 0.691068219 0.856150540 0.389617362
#>  [91] 0.992700739 0.089546310 0.903550531 0.662763907 0.538229062 0.700602817
#>  [97] 0.587049816 0.887702507 0.040276839 0.518924930 0.014430304 0.310172278
#> [103] 0.059994353 0.078999296 0.281811599 0.165390738 0.985405733 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000 0.000000000
#> 
#> $Time
#>   105   100   179    32   187   183    60   153    68    45   139    15     6 
#> 19.75 16.07 18.63 20.90  9.92  9.24 13.15 21.33 20.62 17.42 21.49 22.68 15.64 
#>    96    14 183.1    76    24   107    78   170 105.1   134    97 170.1   140 
#> 14.54 12.89  9.24 19.22 23.89 11.18 23.88 19.54 19.75 17.81 19.14 19.54 12.68 
#> 105.2    57    41 183.2    61  60.1 107.1   106    51 183.3  97.1   150   188 
#> 19.75 14.46 18.02  9.24 10.12 13.15 11.18 16.67 18.23  9.24 19.14 20.33 16.16 
#> 183.4  76.1  51.1   167    36 170.2  15.1   101    52   133  60.2   111  15.2 
#>  9.24 19.22 18.23 15.55 21.19 19.54 22.68  9.97 10.42 14.65 13.15 17.45 22.68 
#>   108    37   6.1  14.1   110   154   175   125   164    55 188.1  45.1 187.1 
#> 18.29 12.52 15.64 12.89 17.56 12.63 21.91 15.65 23.60 19.34 16.16 17.42  9.92 
#>    23    29  96.1   169    85    18   168 167.1   130    56  32.1  15.3    30 
#> 16.92 15.45 14.54 22.41 16.44 15.21 23.72 15.55 16.47 12.21 20.90 22.68 17.43 
#>    16   158  51.2 158.1    66  16.1    92 169.1 168.1    39 107.2  76.2    77 
#>  8.71 20.14 18.23 20.14 22.13  8.71 22.92 22.41 23.72 15.59 11.18 19.22  7.27 
#>  15.4   145   6.2  30.1 167.2 106.1    93 164.1   117    86   166  92.1   113 
#> 22.68 10.07 15.64 17.43 15.55 16.67 10.33 23.60 17.46 23.81 19.98 22.92 22.86 
#> 158.2   194   149   137    19    38   176    53     7   109    62   191    11 
#> 20.14 22.40  8.37 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34   121  34.1    27   116    95    33   200  33.1   173    67   7.1    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 200.1    71    20    98   185  95.1    28     2  98.1  20.1  62.1 173.1 173.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    74   152  98.2   147   131    31    84   172   163 200.2 152.1 185.1 172.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  62.2    64   196  74.1  64.1 200.3   104 147.1    75    46 200.4  34.2  31.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174   142    83  98.3   122   135  71.1   118   141  11.1 141.1   162   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 142.1  35.1 142.2 141.2    21  53.1 174.1   119  20.2 122.1  62.3   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[96]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.006794256               0.616127743               0.357662934 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.64204640              0.01343692             -0.01875302 
#>   grade_iii, Cure model 
#>              0.55115038 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 86    23.81      1  58        0         1
#> 86.1  23.81      1  58        0         1
#> 168   23.72      1  70        0         0
#> 181   16.46      1  45        0         1
#> 111   17.45      1  47        0         1
#> 49    12.19      1  48        1         0
#> 166   19.98      1  48        0         0
#> 123   13.00      1  44        1         0
#> 85    16.44      1  36        0         0
#> 194   22.40      1  38        0         1
#> 8     18.43      1  32        0         0
#> 175   21.91      1  43        0         0
#> 76    19.22      1  54        0         1
#> 167   15.55      1  56        1         0
#> 96    14.54      1  33        0         1
#> 45    17.42      1  54        0         1
#> 166.1 19.98      1  48        0         0
#> 134   17.81      1  47        1         0
#> 195   11.76      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 194.1 22.40      1  38        0         1
#> 114   13.68      1  NA        0         0
#> 197   21.60      1  69        1         0
#> 18    15.21      1  49        1         0
#> 167.1 15.55      1  56        1         0
#> 86.2  23.81      1  58        0         1
#> 58    19.34      1  39        0         0
#> 36    21.19      1  48        0         1
#> 58.1  19.34      1  39        0         0
#> 77     7.27      1  67        0         1
#> 61    10.12      1  36        0         1
#> 91.1   5.33      1  61        0         1
#> 63    22.77      1  31        1         0
#> 52    10.42      1  52        0         1
#> 159   10.55      1  50        0         1
#> 180   14.82      1  37        0         0
#> 49.1  12.19      1  48        1         0
#> 66    22.13      1  53        0         0
#> 150   20.33      1  48        0         0
#> 57    14.46      1  45        0         1
#> 5     16.43      1  51        0         1
#> 113   22.86      1  34        0         0
#> 197.1 21.60      1  69        1         0
#> 187    9.92      1  39        1         0
#> 145   10.07      1  65        1         0
#> 89    11.44      1  NA        0         0
#> 88    18.37      1  47        0         0
#> 49.2  12.19      1  48        1         0
#> 100   16.07      1  60        0         0
#> 177   12.53      1  75        0         0
#> 136   21.83      1  43        0         1
#> 15    22.68      1  48        0         0
#> 190   20.81      1  42        1         0
#> 199   19.81      1  NA        0         1
#> 40    18.00      1  28        1         0
#> 5.1   16.43      1  51        0         1
#> 8.1   18.43      1  32        0         0
#> 130   16.47      1  53        0         1
#> 181.1 16.46      1  45        0         1
#> 167.2 15.55      1  56        1         0
#> 57.1  14.46      1  45        0         1
#> 97    19.14      1  65        0         1
#> 169   22.41      1  46        0         0
#> 100.1 16.07      1  60        0         0
#> 18.1  15.21      1  49        1         0
#> 197.2 21.60      1  69        1         0
#> 100.2 16.07      1  60        0         0
#> 89.1  11.44      1  NA        0         0
#> 145.1 10.07      1  65        1         0
#> 57.2  14.46      1  45        0         1
#> 37    12.52      1  57        1         0
#> 139   21.49      1  63        1         0
#> 155   13.08      1  26        0         0
#> 177.1 12.53      1  75        0         0
#> 197.3 21.60      1  69        1         0
#> 13    14.34      1  54        0         1
#> 77.1   7.27      1  67        0         1
#> 134.1 17.81      1  47        1         0
#> 134.2 17.81      1  47        1         0
#> 175.1 21.91      1  43        0         0
#> 78    23.88      1  43        0         0
#> 49.3  12.19      1  48        1         0
#> 41    18.02      1  40        1         0
#> 68    20.62      1  44        0         0
#> 59    10.16      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 66.1  22.13      1  53        0         0
#> 61.1  10.12      1  36        0         1
#> 101    9.97      1  10        0         1
#> 179   18.63      1  42        0         0
#> 195.1 11.76      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 180.1 14.82      1  37        0         0
#> 76.1  19.22      1  54        0         1
#> 77.2   7.27      1  67        0         1
#> 96.1  14.54      1  33        0         1
#> 194.2 22.40      1  38        0         1
#> 29    15.45      1  68        1         0
#> 101.1  9.97      1  10        0         1
#> 106   16.67      1  49        1         0
#> 91.2   5.33      1  61        0         1
#> 29.1  15.45      1  68        1         0
#> 15.1  22.68      1  48        0         0
#> 69.1  23.23      1  25        0         1
#> 49.4  12.19      1  48        1         0
#> 195.2 11.76      1  NA        1         0
#> 43    12.10      1  61        0         1
#> 91.3   5.33      1  61        0         1
#> 124    9.73      1  NA        1         0
#> 110   17.56      1  65        0         1
#> 37.1  12.52      1  57        1         0
#> 69.2  23.23      1  25        0         1
#> 148   24.00      0  61        1         0
#> 196   24.00      0  19        0         0
#> 146   24.00      0  63        1         0
#> 165   24.00      0  47        0         0
#> 1     24.00      0  23        1         0
#> 95    24.00      0  68        0         1
#> 191   24.00      0  60        0         1
#> 118   24.00      0  44        1         0
#> 146.1 24.00      0  63        1         0
#> 64    24.00      0  43        0         0
#> 20    24.00      0  46        1         0
#> 174   24.00      0  49        1         0
#> 98    24.00      0  34        1         0
#> 196.1 24.00      0  19        0         0
#> 165.1 24.00      0  47        0         0
#> 22    24.00      0  52        1         0
#> 200   24.00      0  64        0         0
#> 84    24.00      0  39        0         1
#> 174.1 24.00      0  49        1         0
#> 173   24.00      0  19        0         1
#> 22.1  24.00      0  52        1         0
#> 27    24.00      0  63        1         0
#> 11    24.00      0  42        0         1
#> 160   24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 160.1 24.00      0  31        1         0
#> 191.1 24.00      0  60        0         1
#> 152   24.00      0  36        0         1
#> 135.1 24.00      0  58        1         0
#> 103   24.00      0  56        1         0
#> 182   24.00      0  35        0         0
#> 20.1  24.00      0  46        1         0
#> 151   24.00      0  42        0         0
#> 200.1 24.00      0  64        0         0
#> 28    24.00      0  67        1         0
#> 47    24.00      0  38        0         1
#> 11.1  24.00      0  42        0         1
#> 71    24.00      0  51        0         0
#> 165.2 24.00      0  47        0         0
#> 31    24.00      0  36        0         1
#> 31.1  24.00      0  36        0         1
#> 191.2 24.00      0  60        0         1
#> 116   24.00      0  58        0         1
#> 47.1  24.00      0  38        0         1
#> 54    24.00      0  53        1         0
#> 200.2 24.00      0  64        0         0
#> 109   24.00      0  48        0         0
#> 121   24.00      0  57        1         0
#> 182.1 24.00      0  35        0         0
#> 95.1  24.00      0  68        0         1
#> 121.1 24.00      0  57        1         0
#> 74    24.00      0  43        0         1
#> 193   24.00      0  45        0         1
#> 142   24.00      0  53        0         0
#> 115   24.00      0  NA        1         0
#> 38    24.00      0  31        1         0
#> 191.3 24.00      0  60        0         1
#> 83    24.00      0   6        0         0
#> 83.1  24.00      0   6        0         0
#> 84.1  24.00      0  39        0         1
#> 84.2  24.00      0  39        0         1
#> 80    24.00      0  41        0         0
#> 31.2  24.00      0  36        0         1
#> 186   24.00      0  45        1         0
#> 65    24.00      0  57        1         0
#> 121.2 24.00      0  57        1         0
#> 137   24.00      0  45        1         0
#> 34    24.00      0  36        0         0
#> 53    24.00      0  32        0         1
#> 34.1  24.00      0  36        0         0
#> 71.1  24.00      0  51        0         0
#> 131   24.00      0  66        0         0
#> 64.1  24.00      0  43        0         0
#> 191.4 24.00      0  60        0         1
#> 80.1  24.00      0  41        0         0
#> 172   24.00      0  41        0         0
#> 115.1 24.00      0  NA        1         0
#> 33    24.00      0  53        0         0
#> 121.3 24.00      0  57        1         0
#> 191.5 24.00      0  60        0         1
#> 126   24.00      0  48        0         0
#> 148.1 24.00      0  61        1         0
#> 19    24.00      0  57        0         1
#> 62    24.00      0  71        0         0
#> 196.2 24.00      0  19        0         0
#> 131.1 24.00      0  66        0         0
#> 185   24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.642         NA        NA      NA
#> 2 age, Cure model           0.0134        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0188        NA        NA      NA
#> 4 grade_iii, Cure model     0.551         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00679        NA        NA      NA
#> 2 grade_ii, Survival model   0.616          NA        NA      NA
#> 3 grade_iii, Survival model  0.358          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.64205           0.01344          -0.01875           0.55115  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258.9 
#> Residual Deviance: 254.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.64204640       0.01343692      -0.01875302       0.55115038 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.006794256      0.616127743      0.357662934 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.12969554 0.12969554 0.19147058 0.70199004 0.67264117 0.88324289
#>   [7] 0.53038916 0.85474584 0.71603535 0.34105226 0.60072007 0.40593056
#>  [13] 0.56633686 0.75703381 0.81333416 0.68012505 0.53038916 0.64232383
#>  [19] 0.97604914 0.34105226 0.44361630 0.78891783 0.75703381 0.12969554
#>  [25] 0.54845233 0.49289010 0.54845233 0.96131003 0.92558630 0.97604914
#>  [31] 0.27990106 0.92032763 0.91503766 0.80115258 0.88324289 0.38016518
#>  [37] 0.52115709 0.82537342 0.72307356 0.26258006 0.44361630 0.95627431
#>  [43] 0.93597648 0.61752357 0.88324289 0.73680949 0.86055294 0.43115342
#>  [49] 0.29594598 0.50250679 0.63419745 0.72307356 0.60072007 0.69479572
#>  [55] 0.70199004 0.75703381 0.82537342 0.58364018 0.32594944 0.73680949
#>  [61] 0.78891783 0.44361630 0.73680949 0.93597648 0.82537342 0.87202538
#>  [67] 0.48308569 0.84887909 0.86055294 0.44361630 0.84300448 0.96131003
#>  [73] 0.64232383 0.64232383 0.40593056 0.06146915 0.88324289 0.62593990
#>  [79] 0.51186153 0.99520379 0.38016518 0.92558630 0.94615427 0.59220046
#>  [85] 0.21318117 0.80115258 0.56633686 0.96131003 0.81333416 0.34105226
#>  [91] 0.77637512 0.94615427 0.68752233 0.97604914 0.77637512 0.29594598
#>  [97] 0.21318117 0.88324289 0.90971666 0.97604914 0.66507583 0.87202538
#> [103] 0.21318117 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>    86  86.1   168   181   111    49   166   123    85   194     8   175    76 
#> 23.81 23.81 23.72 16.46 17.45 12.19 19.98 13.00 16.44 22.40 18.43 21.91 19.22 
#>   167    96    45 166.1   134    91 194.1   197    18 167.1  86.2    58    36 
#> 15.55 14.54 17.42 19.98 17.81  5.33 22.40 21.60 15.21 15.55 23.81 19.34 21.19 
#>  58.1    77    61  91.1    63    52   159   180  49.1    66   150    57     5 
#> 19.34  7.27 10.12  5.33 22.77 10.42 10.55 14.82 12.19 22.13 20.33 14.46 16.43 
#>   113 197.1   187   145    88  49.2   100   177   136    15   190    40   5.1 
#> 22.86 21.60  9.92 10.07 18.37 12.19 16.07 12.53 21.83 22.68 20.81 18.00 16.43 
#>   8.1   130 181.1 167.2  57.1    97   169 100.1  18.1 197.2 100.2 145.1  57.2 
#> 18.43 16.47 16.46 15.55 14.46 19.14 22.41 16.07 15.21 21.60 16.07 10.07 14.46 
#>    37   139   155 177.1 197.3    13  77.1 134.1 134.2 175.1    78  49.3    41 
#> 12.52 21.49 13.08 12.53 21.60 14.34  7.27 17.81 17.81 21.91 23.88 12.19 18.02 
#>    68   127  66.1  61.1   101   179    69 180.1  76.1  77.2  96.1 194.2    29 
#> 20.62  3.53 22.13 10.12  9.97 18.63 23.23 14.82 19.22  7.27 14.54 22.40 15.45 
#> 101.1   106  91.2  29.1  15.1  69.1  49.4    43  91.3   110  37.1  69.2   148 
#>  9.97 16.67  5.33 15.45 22.68 23.23 12.19 12.10  5.33 17.56 12.52 23.23 24.00 
#>   196   146   165     1    95   191   118 146.1    64    20   174    98 196.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 165.1    22   200    84 174.1   173  22.1    27    11   160   135 160.1 191.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152 135.1   103   182  20.1   151 200.1    28    47  11.1    71 165.2    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  31.1 191.2   116  47.1    54 200.2   109   121 182.1  95.1 121.1    74   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142    38 191.3    83  83.1  84.1  84.2    80  31.2   186    65 121.2   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34    53  34.1  71.1   131  64.1 191.4  80.1   172    33 121.3 191.5   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.1    19    62 196.2 131.1   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[97]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01235343                0.40661918                0.02593833 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.099778529             0.008373563            -0.360317461 
#>   grade_iii, Cure model 
#>             0.056320206 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 110   17.56      1  65        0         1
#> 164   23.60      1  76        0         1
#> 108   18.29      1  39        0         1
#> 36    21.19      1  48        0         1
#> 30    17.43      1  78        0         0
#> 68    20.62      1  44        0         0
#> 76    19.22      1  54        0         1
#> 105   19.75      1  60        0         0
#> 114   13.68      1  NA        0         0
#> 63    22.77      1  31        1         0
#> 150   20.33      1  48        0         0
#> 43    12.10      1  61        0         1
#> 85    16.44      1  36        0         0
#> 123   13.00      1  44        1         0
#> 86    23.81      1  58        0         1
#> 36.1  21.19      1  48        0         1
#> 140   12.68      1  59        1         0
#> 59    10.16      1  NA        1         0
#> 133   14.65      1  57        0         0
#> 189   10.51      1  NA        1         0
#> 166   19.98      1  48        0         0
#> 108.1 18.29      1  39        0         1
#> 92    22.92      1  47        0         1
#> 42    12.43      1  49        0         1
#> 170   19.54      1  43        0         1
#> 6     15.64      1  39        0         0
#> 179   18.63      1  42        0         0
#> 101    9.97      1  10        0         1
#> 86.1  23.81      1  58        0         1
#> 51    18.23      1  83        0         1
#> 40    18.00      1  28        1         0
#> 78    23.88      1  43        0         0
#> 134   17.81      1  47        1         0
#> 77     7.27      1  67        0         1
#> 155   13.08      1  26        0         0
#> 23    16.92      1  61        0         0
#> 76.1  19.22      1  54        0         1
#> 134.1 17.81      1  47        1         0
#> 30.1  17.43      1  78        0         0
#> 169   22.41      1  46        0         0
#> 70     7.38      1  30        1         0
#> 124    9.73      1  NA        1         0
#> 76.2  19.22      1  54        0         1
#> 190   20.81      1  42        1         0
#> 41    18.02      1  40        1         0
#> 4     17.64      1  NA        0         1
#> 26    15.77      1  49        0         1
#> 26.1  15.77      1  49        0         1
#> 16     8.71      1  71        0         1
#> 145   10.07      1  65        1         0
#> 190.1 20.81      1  42        1         0
#> 99    21.19      1  38        0         1
#> 4.1   17.64      1  NA        0         1
#> 149    8.37      1  33        1         0
#> 190.2 20.81      1  42        1         0
#> 32    20.90      1  37        1         0
#> 70.1   7.38      1  30        1         0
#> 199   19.81      1  NA        0         1
#> 90    20.94      1  50        0         1
#> 30.2  17.43      1  78        0         0
#> 157   15.10      1  47        0         0
#> 25     6.32      1  34        1         0
#> 192   16.44      1  31        1         0
#> 197   21.60      1  69        1         0
#> 23.1  16.92      1  61        0         0
#> 32.1  20.90      1  37        1         0
#> 66    22.13      1  53        0         0
#> 15    22.68      1  48        0         0
#> 187    9.92      1  39        1         0
#> 184   17.77      1  38        0         0
#> 101.1  9.97      1  10        0         1
#> 81    14.06      1  34        0         0
#> 92.1  22.92      1  47        0         1
#> 56    12.21      1  60        0         0
#> 90.1  20.94      1  50        0         1
#> 78.1  23.88      1  43        0         0
#> 56.1  12.21      1  60        0         0
#> 114.1 13.68      1  NA        0         0
#> 52    10.42      1  52        0         1
#> 114.2 13.68      1  NA        0         0
#> 37    12.52      1  57        1         0
#> 189.1 10.51      1  NA        1         0
#> 79    16.23      1  54        1         0
#> 40.1  18.00      1  28        1         0
#> 105.1 19.75      1  60        0         0
#> 66.1  22.13      1  53        0         0
#> 58    19.34      1  39        0         0
#> 13    14.34      1  54        0         1
#> 55    19.34      1  69        0         1
#> 194   22.40      1  38        0         1
#> 192.1 16.44      1  31        1         0
#> 10    10.53      1  34        0         0
#> 111   17.45      1  47        0         1
#> 40.2  18.00      1  28        1         0
#> 96    14.54      1  33        0         1
#> 170.1 19.54      1  43        0         1
#> 8     18.43      1  32        0         0
#> 60    13.15      1  38        1         0
#> 39    15.59      1  37        0         1
#> 195   11.76      1  NA        1         0
#> 195.1 11.76      1  NA        1         0
#> 197.1 21.60      1  69        1         0
#> 101.2  9.97      1  10        0         1
#> 179.1 18.63      1  42        0         0
#> 167   15.55      1  56        1         0
#> 93    10.33      1  52        0         1
#> 149.1  8.37      1  33        1         0
#> 18    15.21      1  49        1         0
#> 154   12.63      1  20        1         0
#> 199.1 19.81      1  NA        0         1
#> 56.2  12.21      1  60        0         0
#> 164.1 23.60      1  76        0         1
#> 118   24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 144   24.00      0  28        0         1
#> 191   24.00      0  60        0         1
#> 148   24.00      0  61        1         0
#> 186   24.00      0  45        1         0
#> 174   24.00      0  49        1         0
#> 120   24.00      0  68        0         1
#> 148.1 24.00      0  61        1         0
#> 64    24.00      0  43        0         0
#> 193   24.00      0  45        0         1
#> 141   24.00      0  44        1         0
#> 2     24.00      0   9        0         0
#> 112   24.00      0  61        0         0
#> 115   24.00      0  NA        1         0
#> 176   24.00      0  43        0         1
#> 3     24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 74    24.00      0  43        0         1
#> 156   24.00      0  50        1         0
#> 135   24.00      0  58        1         0
#> 2.1   24.00      0   9        0         0
#> 54    24.00      0  53        1         0
#> 112.1 24.00      0  61        0         0
#> 72    24.00      0  40        0         1
#> 118.1 24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 138   24.00      0  44        1         0
#> 53    24.00      0  32        0         1
#> 141.1 24.00      0  44        1         0
#> 47    24.00      0  38        0         1
#> 9     24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 118.2 24.00      0  44        1         0
#> 119   24.00      0  17        0         0
#> 165   24.00      0  47        0         0
#> 95    24.00      0  68        0         1
#> 131   24.00      0  66        0         0
#> 9.1   24.00      0  31        1         0
#> 115.1 24.00      0  NA        1         0
#> 98    24.00      0  34        1         0
#> 138.1 24.00      0  44        1         0
#> 12    24.00      0  63        0         0
#> 22    24.00      0  52        1         0
#> 193.1 24.00      0  45        0         1
#> 104   24.00      0  50        1         0
#> 116   24.00      0  58        0         1
#> 115.2 24.00      0  NA        1         0
#> 152   24.00      0  36        0         1
#> 12.1  24.00      0  63        0         0
#> 75    24.00      0  21        1         0
#> 103   24.00      0  56        1         0
#> 73.1  24.00      0  NA        0         1
#> 186.1 24.00      0  45        1         0
#> 118.3 24.00      0  44        1         0
#> 182   24.00      0  35        0         0
#> 118.4 24.00      0  44        1         0
#> 109   24.00      0  48        0         0
#> 19.1  24.00      0  57        0         1
#> 17    24.00      0  38        0         1
#> 186.2 24.00      0  45        1         0
#> 109.1 24.00      0  48        0         0
#> 34    24.00      0  36        0         0
#> 152.1 24.00      0  36        0         1
#> 17.1  24.00      0  38        0         1
#> 74.1  24.00      0  43        0         1
#> 109.2 24.00      0  48        0         0
#> 144.1 24.00      0  28        0         1
#> 84    24.00      0  39        0         1
#> 22.1  24.00      0  52        1         0
#> 174.1 24.00      0  49        1         0
#> 178   24.00      0  52        1         0
#> 94    24.00      0  51        0         1
#> 118.5 24.00      0  44        1         0
#> 20    24.00      0  46        1         0
#> 138.2 24.00      0  44        1         0
#> 11    24.00      0  42        0         1
#> 162   24.00      0  51        0         0
#> 94.1  24.00      0  51        0         1
#> 71.1  24.00      0  51        0         0
#> 74.2  24.00      0  43        0         1
#> 104.1 24.00      0  50        1         0
#> 31    24.00      0  36        0         1
#> 33    24.00      0  53        0         0
#> 65    24.00      0  57        1         0
#> 33.1  24.00      0  53        0         0
#> 67    24.00      0  25        0         0
#> 196   24.00      0  19        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.0998         NA        NA      NA
#> 2 age, Cure model          0.00837        NA        NA      NA
#> 3 grade_ii, Cure model    -0.360          NA        NA      NA
#> 4 grade_iii, Cure model    0.0563         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0124        NA        NA      NA
#> 2 grade_ii, Survival model    0.407         NA        NA      NA
#> 3 grade_iii, Survival model   0.0259        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.099779          0.008374         -0.360317          0.056320  
#> 
#> Degrees of Freedom: 181 Total (i.e. Null);  178 Residual
#> Null Deviance:	    250.9 
#> Residual Deviance: 248.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.099778529      0.008373563     -0.360317461      0.056320206 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01235343       0.40661918       0.02593833 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.3611046183 0.0059341004 0.2572827087 0.0589851286 0.3830925459
#>   [6] 0.1261036386 0.2000913402 0.1492214999 0.0188387940 0.1336160954
#>  [11] 0.7655629635 0.4407888229 0.6560559699 0.0023693283 0.0589851286
#>  [16] 0.6695580563 0.5763738701 0.1413224300 0.2572827087 0.0116070307
#>  [21] 0.7102655647 0.1654793990 0.5128192039 0.2277359599 0.8378872951
#>  [26] 0.0023693283 0.2776003923 0.2988365904 0.0004324184 0.3294239655
#>  [31] 0.9700150934 0.6425893592 0.4171036157 0.2000913402 0.3294239655
#>  [36] 0.3830925459 0.0272541495 0.9405143643 0.2000913402 0.1053689552
#>  [41] 0.2882020804 0.4882821900 0.4882821900 0.8960913068 0.8232162471
#>  [46] 0.1053689552 0.0589851286 0.9109797404 0.1053689552 0.0913596170
#>  [51] 0.9405143643 0.0774591354 0.3830925459 0.5634773045 0.9850060261
#>  [56] 0.4407888229 0.0474987414 0.4171036157 0.0913596170 0.0369382694
#>  [61] 0.0228730434 0.8813433004 0.3503555129 0.8378872951 0.6158276569
#>  [66] 0.0116070307 0.7239800255 0.0774591354 0.0004324184 0.7239800255
#>  [71] 0.7941643545 0.6966665799 0.4761277277 0.2988365904 0.1492214999
#>  [76] 0.0369382694 0.1823974323 0.6025543291 0.1823974323 0.0319644845
#>  [81] 0.4407888229 0.7798186853 0.3720294195 0.2988365904 0.5894179713
#>  [86] 0.1654793990 0.2472124723 0.6291998410 0.5253541492 0.0474987414
#>  [91] 0.8378872951 0.2277359599 0.5379947351 0.8086302661 0.9109797404
#>  [96] 0.5507094540 0.6831355734 0.7239800255 0.0059341004 0.0000000000
#> [101] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000
#> 
#> $Time
#>   110   164   108    36    30    68    76   105    63   150    43    85   123 
#> 17.56 23.60 18.29 21.19 17.43 20.62 19.22 19.75 22.77 20.33 12.10 16.44 13.00 
#>    86  36.1   140   133   166 108.1    92    42   170     6   179   101  86.1 
#> 23.81 21.19 12.68 14.65 19.98 18.29 22.92 12.43 19.54 15.64 18.63  9.97 23.81 
#>    51    40    78   134    77   155    23  76.1 134.1  30.1   169    70  76.2 
#> 18.23 18.00 23.88 17.81  7.27 13.08 16.92 19.22 17.81 17.43 22.41  7.38 19.22 
#>   190    41    26  26.1    16   145 190.1    99   149 190.2    32  70.1    90 
#> 20.81 18.02 15.77 15.77  8.71 10.07 20.81 21.19  8.37 20.81 20.90  7.38 20.94 
#>  30.2   157    25   192   197  23.1  32.1    66    15   187   184 101.1    81 
#> 17.43 15.10  6.32 16.44 21.60 16.92 20.90 22.13 22.68  9.92 17.77  9.97 14.06 
#>  92.1    56  90.1  78.1  56.1    52    37    79  40.1 105.1  66.1    58    13 
#> 22.92 12.21 20.94 23.88 12.21 10.42 12.52 16.23 18.00 19.75 22.13 19.34 14.34 
#>    55   194 192.1    10   111  40.2    96 170.1     8    60    39 197.1 101.2 
#> 19.34 22.40 16.44 10.53 17.45 18.00 14.54 19.54 18.43 13.15 15.59 21.60  9.97 
#> 179.1   167    93 149.1    18   154  56.2 164.1   118   144   191   148   186 
#> 18.63 15.55 10.33  8.37 15.21 12.63 12.21 23.60 24.00 24.00 24.00 24.00 24.00 
#>   174   120 148.1    64   193   141     2   112   176     3    62    74   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135   2.1    54 112.1    72 118.1    71   138    53 141.1    47     9    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 118.2   119   165    95   131   9.1    98 138.1    12    22 193.1   104   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152  12.1    75   103 186.1 118.3   182 118.4   109  19.1    17 186.2 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34 152.1  17.1  74.1 109.2 144.1    84  22.1 174.1   178    94 118.5    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 138.2    11   162  94.1  71.1  74.2 104.1    31    33    65  33.1    67   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[98]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001772883               0.796146239               0.717790374 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.82049124              0.02007463             -0.26720408 
#>   grade_iii, Cure model 
#>              0.32276606 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 128   20.35      1  35        0         1
#> 195   11.76      1  NA        1         0
#> 99    21.19      1  38        0         1
#> 169   22.41      1  46        0         0
#> 66    22.13      1  53        0         0
#> 180   14.82      1  37        0         0
#> 39    15.59      1  37        0         1
#> 59    10.16      1  NA        1         0
#> 164   23.60      1  76        0         1
#> 43    12.10      1  61        0         1
#> 66.1  22.13      1  53        0         0
#> 194   22.40      1  38        0         1
#> 149    8.37      1  33        1         0
#> 153   21.33      1  55        1         0
#> 59.1  10.16      1  NA        1         0
#> 175   21.91      1  43        0         0
#> 139   21.49      1  63        1         0
#> 129   23.41      1  53        1         0
#> 61    10.12      1  36        0         1
#> 125   15.65      1  67        1         0
#> 8     18.43      1  32        0         0
#> 89    11.44      1  NA        0         0
#> 89.1  11.44      1  NA        0         0
#> 29    15.45      1  68        1         0
#> 55    19.34      1  69        0         1
#> 56    12.21      1  60        0         0
#> 149.1  8.37      1  33        1         0
#> 169.1 22.41      1  46        0         0
#> 183    9.24      1  67        1         0
#> 133   14.65      1  57        0         0
#> 114   13.68      1  NA        0         0
#> 68    20.62      1  44        0         0
#> 78    23.88      1  43        0         0
#> 56.1  12.21      1  60        0         0
#> 123   13.00      1  44        1         0
#> 136   21.83      1  43        0         1
#> 43.1  12.10      1  61        0         1
#> 59.2  10.16      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 30    17.43      1  78        0         0
#> 168   23.72      1  70        0         0
#> 8.1   18.43      1  32        0         0
#> 101    9.97      1  10        0         1
#> 111   17.45      1  47        0         1
#> 194.1 22.40      1  38        0         1
#> 63    22.77      1  31        1         0
#> 130   16.47      1  53        0         1
#> 68.1  20.62      1  44        0         0
#> 150   20.33      1  48        0         0
#> 106   16.67      1  49        1         0
#> 175.1 21.91      1  43        0         0
#> 45    17.42      1  54        0         1
#> 13    14.34      1  54        0         1
#> 24    23.89      1  38        0         0
#> 23    16.92      1  61        0         0
#> 157   15.10      1  47        0         0
#> 50    10.02      1  NA        1         0
#> 10    10.53      1  34        0         0
#> 90    20.94      1  50        0         1
#> 153.1 21.33      1  55        1         0
#> 32    20.90      1  37        1         0
#> 24.1  23.89      1  38        0         0
#> 92    22.92      1  47        0         1
#> 194.2 22.40      1  38        0         1
#> 127    3.53      1  62        0         1
#> 16     8.71      1  71        0         1
#> 5     16.43      1  51        0         1
#> 89.2  11.44      1  NA        0         0
#> 155   13.08      1  26        0         0
#> 55.1  19.34      1  69        0         1
#> 16.1   8.71      1  71        0         1
#> 108   18.29      1  39        0         1
#> 158   20.14      1  74        1         0
#> 114.1 13.68      1  NA        0         0
#> 43.2  12.10      1  61        0         1
#> 187    9.92      1  39        1         0
#> 101.1  9.97      1  10        0         1
#> 123.1 13.00      1  44        1         0
#> 51    18.23      1  83        0         1
#> 177   12.53      1  75        0         0
#> 13.1  14.34      1  54        0         1
#> 90.1  20.94      1  50        0         1
#> 40    18.00      1  28        1         0
#> 168.1 23.72      1  70        0         0
#> 29.1  15.45      1  68        1         0
#> 179   18.63      1  42        0         0
#> 168.2 23.72      1  70        0         0
#> 99.1  21.19      1  38        0         1
#> 37    12.52      1  57        1         0
#> 99.2  21.19      1  38        0         1
#> 52    10.42      1  52        0         1
#> 194.3 22.40      1  38        0         1
#> 150.1 20.33      1  48        0         0
#> 166   19.98      1  48        0         0
#> 79    16.23      1  54        1         0
#> 177.1 12.53      1  75        0         0
#> 90.2  20.94      1  50        0         1
#> 15    22.68      1  48        0         0
#> 145   10.07      1  65        1         0
#> 154   12.63      1  20        1         0
#> 168.3 23.72      1  70        0         0
#> 169.2 22.41      1  46        0         0
#> 150.2 20.33      1  48        0         0
#> 199   19.81      1  NA        0         1
#> 154.1 12.63      1  20        1         0
#> 125.1 15.65      1  67        1         0
#> 125.2 15.65      1  67        1         0
#> 110   17.56      1  65        0         1
#> 43.3  12.10      1  61        0         1
#> 169.3 22.41      1  46        0         0
#> 127.1  3.53      1  62        0         1
#> 129.1 23.41      1  53        1         0
#> 141   24.00      0  44        1         0
#> 126   24.00      0  48        0         0
#> 9     24.00      0  31        1         0
#> 160   24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 33    24.00      0  53        0         0
#> 173   24.00      0  19        0         1
#> 104   24.00      0  50        1         0
#> 54    24.00      0  53        1         0
#> 74    24.00      0  43        0         1
#> 83    24.00      0   6        0         0
#> 142   24.00      0  53        0         0
#> 3     24.00      0  31        1         0
#> 12    24.00      0  63        0         0
#> 75    24.00      0  21        1         0
#> 163   24.00      0  66        0         0
#> 178   24.00      0  52        1         0
#> 109   24.00      0  48        0         0
#> 19    24.00      0  57        0         1
#> 162   24.00      0  51        0         0
#> 200   24.00      0  64        0         0
#> 17    24.00      0  38        0         1
#> 73    24.00      0  NA        0         1
#> 138   24.00      0  44        1         0
#> 75.1  24.00      0  21        1         0
#> 191   24.00      0  60        0         1
#> 62    24.00      0  71        0         0
#> 48    24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 64    24.00      0  43        0         0
#> 38    24.00      0  31        1         0
#> 119.1 24.00      0  17        0         0
#> 54.1  24.00      0  53        1         0
#> 161   24.00      0  45        0         0
#> 182   24.00      0  35        0         0
#> 21    24.00      0  47        0         0
#> 94    24.00      0  51        0         1
#> 11    24.00      0  42        0         1
#> 103   24.00      0  56        1         0
#> 62.1  24.00      0  71        0         0
#> 116   24.00      0  58        0         1
#> 185   24.00      0  44        1         0
#> 19.1  24.00      0  57        0         1
#> 34    24.00      0  36        0         0
#> 115   24.00      0  NA        1         0
#> 144   24.00      0  28        0         1
#> 131   24.00      0  66        0         0
#> 20    24.00      0  46        1         0
#> 83.1  24.00      0   6        0         0
#> 84    24.00      0  39        0         1
#> 47    24.00      0  38        0         1
#> 84.1  24.00      0  39        0         1
#> 191.1 24.00      0  60        0         1
#> 182.1 24.00      0  35        0         0
#> 144.1 24.00      0  28        0         1
#> 11.1  24.00      0  42        0         1
#> 160.1 24.00      0  31        1         0
#> 198   24.00      0  66        0         1
#> 118   24.00      0  44        1         0
#> 198.1 24.00      0  66        0         1
#> 7     24.00      0  37        1         0
#> 146   24.00      0  63        1         0
#> 138.1 24.00      0  44        1         0
#> 53    24.00      0  32        0         1
#> 162.1 24.00      0  51        0         0
#> 126.1 24.00      0  48        0         0
#> 62.2  24.00      0  71        0         0
#> 103.1 24.00      0  56        1         0
#> 178.1 24.00      0  52        1         0
#> 46    24.00      0  71        0         0
#> 161.1 24.00      0  45        0         0
#> 115.1 24.00      0  NA        1         0
#> 186   24.00      0  45        1         0
#> 74.1  24.00      0  43        0         1
#> 191.2 24.00      0  60        0         1
#> 185.1 24.00      0  44        1         0
#> 47.1  24.00      0  38        0         1
#> 44    24.00      0  56        0         0
#> 200.1 24.00      0  64        0         0
#> 121   24.00      0  57        1         0
#> 35    24.00      0  51        0         0
#> 147   24.00      0  76        1         0
#> 1     24.00      0  23        1         0
#> 31.1  24.00      0  36        0         1
#> 7.1   24.00      0  37        1         0
#> 80    24.00      0  41        0         0
#> 62.3  24.00      0  71        0         0
#> 28    24.00      0  67        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.820         NA        NA      NA
#> 2 age, Cure model           0.0201        NA        NA      NA
#> 3 grade_ii, Cure model     -0.267         NA        NA      NA
#> 4 grade_iii, Cure model     0.323         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00177        NA        NA      NA
#> 2 grade_ii, Survival model   0.796          NA        NA      NA
#> 3 grade_iii, Survival model  0.718          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.82049           0.02007          -0.26720           0.32277  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.5 
#> Residual Deviance: 249.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.82049124       0.02007463      -0.26720408       0.32276606 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001772883      0.796146239      0.717790374 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.57787986 0.49697001 0.30839940 0.40757011 0.81267255 0.78655576
#>   [7] 0.20868024 0.89951215 0.40757011 0.36199717 0.97877234 0.47655020
#>  [13] 0.43089996 0.46553988 0.23041562 0.93421430 0.76652420 0.66106982
#>  [19] 0.79322259 0.63693460 0.88749087 0.97877234 0.30839940 0.96240420
#>  [25] 0.81916680 0.56050025 0.09126687 0.88749087 0.84469342 0.45413051
#>  [31] 0.89951215 0.62857295 0.71566961 0.12452198 0.66106982 0.94564070
#>  [37] 0.70817020 0.36199717 0.27913951 0.74521202 0.56050025 0.58648206
#>  [43] 0.73793218 0.43089996 0.72315739 0.82565558 0.03583547 0.73054905
#>  [49] 0.80617478 0.92260681 0.52522815 0.47655020 0.55171978 0.03583547
#>  [55] 0.26336567 0.36199717 0.98945949 0.96792523 0.75240391 0.83833289
#>  [61] 0.63693460 0.96792523 0.67709506 0.61181461 0.89951215 0.95683535
#>  [67] 0.94564070 0.84469342 0.68504245 0.86929060 0.82565558 0.52522815
#>  [73] 0.69286507 0.12452198 0.79322259 0.65299656 0.12452198 0.49697001
#>  [79] 0.88145053 0.49697001 0.92843319 0.36199717 0.58648206 0.62019881
#>  [85] 0.75951129 0.86929060 0.52522815 0.29380173 0.93995333 0.85710644
#>  [91] 0.12452198 0.30839940 0.58648206 0.85710644 0.76652420 0.76652420
#>  [97] 0.70057197 0.89951215 0.30839940 0.98945949 0.23041562 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   128    99   169    66   180    39   164    43  66.1   194   149   153   175 
#> 20.35 21.19 22.41 22.13 14.82 15.59 23.60 12.10 22.13 22.40  8.37 21.33 21.91 
#>   139   129    61   125     8    29    55    56 149.1 169.1   183   133    68 
#> 21.49 23.41 10.12 15.65 18.43 15.45 19.34 12.21  8.37 22.41  9.24 14.65 20.62 
#>    78  56.1   123   136  43.1   105    30   168   8.1   101   111 194.1    63 
#> 23.88 12.21 13.00 21.83 12.10 19.75 17.43 23.72 18.43  9.97 17.45 22.40 22.77 
#>   130  68.1   150   106 175.1    45    13    24    23   157    10    90 153.1 
#> 16.47 20.62 20.33 16.67 21.91 17.42 14.34 23.89 16.92 15.10 10.53 20.94 21.33 
#>    32  24.1    92 194.2   127    16     5   155  55.1  16.1   108   158  43.2 
#> 20.90 23.89 22.92 22.40  3.53  8.71 16.43 13.08 19.34  8.71 18.29 20.14 12.10 
#>   187 101.1 123.1    51   177  13.1  90.1    40 168.1  29.1   179 168.2  99.1 
#>  9.92  9.97 13.00 18.23 12.53 14.34 20.94 18.00 23.72 15.45 18.63 23.72 21.19 
#>    37  99.2    52 194.3 150.1   166    79 177.1  90.2    15   145   154 168.3 
#> 12.52 21.19 10.42 22.40 20.33 19.98 16.23 12.53 20.94 22.68 10.07 12.63 23.72 
#> 169.2 150.2 154.1 125.1 125.2   110  43.3 169.3 127.1 129.1   141   126     9 
#> 22.41 20.33 12.63 15.65 15.65 17.56 12.10 22.41  3.53 23.41 24.00 24.00 24.00 
#>   160    31    33   173   104    54    74    83   142     3    12    75   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178   109    19   162   200    17   138  75.1   191    62    48   119    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38 119.1  54.1   161   182    21    94    11   103  62.1   116   185  19.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34   144   131    20  83.1    84    47  84.1 191.1 182.1 144.1  11.1 160.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198   118 198.1     7   146 138.1    53 162.1 126.1  62.2 103.1 178.1    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.1   186  74.1 191.2 185.1  47.1    44 200.1   121    35   147     1  31.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   7.1    80  62.3    28 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[99]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.002822241               0.690773262               0.489722692 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.64646811              0.01174006              0.43376859 
#>   grade_iii, Cure model 
#>              0.39550725 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 40    18.00      1  28        1         0
#> 37    12.52      1  57        1         0
#> 85    16.44      1  36        0         0
#> 114   13.68      1  NA        0         0
#> 66    22.13      1  53        0         0
#> 136   21.83      1  43        0         1
#> 8     18.43      1  32        0         0
#> 187    9.92      1  39        1         0
#> 57    14.46      1  45        0         1
#> 37.1  12.52      1  57        1         0
#> 52    10.42      1  52        0         1
#> 37.2  12.52      1  57        1         0
#> 194   22.40      1  38        0         1
#> 167   15.55      1  56        1         0
#> 96    14.54      1  33        0         1
#> 24    23.89      1  38        0         0
#> 60    13.15      1  38        1         0
#> 13    14.34      1  54        0         1
#> 76    19.22      1  54        0         1
#> 105   19.75      1  60        0         0
#> 110   17.56      1  65        0         1
#> 111   17.45      1  47        0         1
#> 99    21.19      1  38        0         1
#> 93    10.33      1  52        0         1
#> 16     8.71      1  71        0         1
#> 16.1   8.71      1  71        0         1
#> 101    9.97      1  10        0         1
#> 78    23.88      1  43        0         0
#> 123   13.00      1  44        1         0
#> 10    10.53      1  34        0         0
#> 188   16.16      1  46        0         1
#> 184   17.77      1  38        0         0
#> 100   16.07      1  60        0         0
#> 111.1 17.45      1  47        0         1
#> 52.1  10.42      1  52        0         1
#> 111.2 17.45      1  47        0         1
#> 158   20.14      1  74        1         0
#> 10.1  10.53      1  34        0         0
#> 177   12.53      1  75        0         0
#> 140   12.68      1  59        1         0
#> 92    22.92      1  47        0         1
#> 197   21.60      1  69        1         0
#> 101.1  9.97      1  10        0         1
#> 93.1  10.33      1  52        0         1
#> 39    15.59      1  37        0         1
#> 100.1 16.07      1  60        0         0
#> 158.1 20.14      1  74        1         0
#> 52.2  10.42      1  52        0         1
#> 63    22.77      1  31        1         0
#> 23    16.92      1  61        0         0
#> 60.1  13.15      1  38        1         0
#> 159   10.55      1  50        0         1
#> 69    23.23      1  25        0         1
#> 59    10.16      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 123.1 13.00      1  44        1         0
#> 199   19.81      1  NA        0         1
#> 189   10.51      1  NA        1         0
#> 26    15.77      1  49        0         1
#> 113   22.86      1  34        0         0
#> 187.1  9.92      1  39        1         0
#> 139   21.49      1  63        1         0
#> 106   16.67      1  49        1         0
#> 136.1 21.83      1  43        0         1
#> 59.1  10.16      1  NA        1         0
#> 155   13.08      1  26        0         0
#> 145   10.07      1  65        1         0
#> 145.1 10.07      1  65        1         0
#> 134   17.81      1  47        1         0
#> 170.1 19.54      1  43        0         1
#> 145.2 10.07      1  65        1         0
#> 5     16.43      1  51        0         1
#> 56    12.21      1  60        0         0
#> 6     15.64      1  39        0         0
#> 58    19.34      1  39        0         0
#> 179   18.63      1  42        0         0
#> 184.1 17.77      1  38        0         0
#> 78.1  23.88      1  43        0         0
#> 159.1 10.55      1  50        0         1
#> 129   23.41      1  53        1         0
#> 136.2 21.83      1  43        0         1
#> 114.1 13.68      1  NA        0         0
#> 45    17.42      1  54        0         1
#> 153   21.33      1  55        1         0
#> 15    22.68      1  48        0         0
#> 140.1 12.68      1  59        1         0
#> 124    9.73      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 145.3 10.07      1  65        1         0
#> 197.1 21.60      1  69        1         0
#> 63.1  22.77      1  31        1         0
#> 78.2  23.88      1  43        0         0
#> 76.1  19.22      1  54        0         1
#> 10.2  10.53      1  34        0         0
#> 8.1   18.43      1  32        0         0
#> 168   23.72      1  70        0         0
#> 86    23.81      1  58        0         1
#> 30    17.43      1  78        0         0
#> 168.1 23.72      1  70        0         0
#> 4     17.64      1  NA        0         1
#> 157   15.10      1  47        0         0
#> 86.1  23.81      1  58        0         1
#> 18    15.21      1  49        1         0
#> 97    19.14      1  65        0         1
#> 43    12.10      1  61        0         1
#> 50    10.02      1  NA        1         0
#> 15.1  22.68      1  48        0         0
#> 180   14.82      1  37        0         0
#> 194.1 22.40      1  38        0         1
#> 107   11.18      1  54        1         0
#> 93.2  10.33      1  52        0         1
#> 37.3  12.52      1  57        1         0
#> 182   24.00      0  35        0         0
#> 87    24.00      0  27        0         0
#> 83    24.00      0   6        0         0
#> 193   24.00      0  45        0         1
#> 176   24.00      0  43        0         1
#> 172   24.00      0  41        0         0
#> 118   24.00      0  44        1         0
#> 17    24.00      0  38        0         1
#> 64    24.00      0  43        0         0
#> 22    24.00      0  52        1         0
#> 173   24.00      0  19        0         1
#> 116   24.00      0  58        0         1
#> 138   24.00      0  44        1         0
#> 20    24.00      0  46        1         0
#> 163   24.00      0  66        0         0
#> 67    24.00      0  25        0         0
#> 72    24.00      0  40        0         1
#> 120   24.00      0  68        0         1
#> 17.1  24.00      0  38        0         1
#> 64.1  24.00      0  43        0         0
#> 17.2  24.00      0  38        0         1
#> 84    24.00      0  39        0         1
#> 74    24.00      0  43        0         1
#> 35    24.00      0  51        0         0
#> 28    24.00      0  67        1         0
#> 191   24.00      0  60        0         1
#> 95    24.00      0  68        0         1
#> 132   24.00      0  55        0         0
#> 62    24.00      0  71        0         0
#> 148   24.00      0  61        1         0
#> 172.1 24.00      0  41        0         0
#> 35.1  24.00      0  51        0         0
#> 132.1 24.00      0  55        0         0
#> 21    24.00      0  47        0         0
#> 2     24.00      0   9        0         0
#> 122   24.00      0  66        0         0
#> 131   24.00      0  66        0         0
#> 165   24.00      0  47        0         0
#> 48    24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 84.1  24.00      0  39        0         1
#> 115   24.00      0  NA        1         0
#> 47    24.00      0  38        0         1
#> 112   24.00      0  61        0         0
#> 19    24.00      0  57        0         1
#> 121   24.00      0  57        1         0
#> 87.1  24.00      0  27        0         0
#> 20.1  24.00      0  46        1         0
#> 35.2  24.00      0  51        0         0
#> 38    24.00      0  31        1         0
#> 165.1 24.00      0  47        0         0
#> 193.1 24.00      0  45        0         1
#> 165.2 24.00      0  47        0         0
#> 73    24.00      0  NA        0         1
#> 120.1 24.00      0  68        0         1
#> 11    24.00      0  42        0         1
#> 83.1  24.00      0   6        0         0
#> 178   24.00      0  52        1         0
#> 116.1 24.00      0  58        0         1
#> 200   24.00      0  64        0         0
#> 186   24.00      0  45        1         0
#> 172.2 24.00      0  41        0         0
#> 67.1  24.00      0  25        0         0
#> 95.1  24.00      0  68        0         1
#> 22.1  24.00      0  52        1         0
#> 11.1  24.00      0  42        0         1
#> 148.1 24.00      0  61        1         0
#> 137   24.00      0  45        1         0
#> 35.3  24.00      0  51        0         0
#> 144   24.00      0  28        0         1
#> 65    24.00      0  57        1         0
#> 27    24.00      0  63        1         0
#> 80    24.00      0  41        0         0
#> 182.1 24.00      0  35        0         0
#> 19.1  24.00      0  57        0         1
#> 152   24.00      0  36        0         1
#> 198   24.00      0  66        0         1
#> 186.1 24.00      0  45        1         0
#> 198.1 24.00      0  66        0         1
#> 118.1 24.00      0  44        1         0
#> 165.3 24.00      0  47        0         0
#> 137.1 24.00      0  45        1         0
#> 191.1 24.00      0  60        0         1
#> 151   24.00      0  42        0         0
#> 161   24.00      0  45        0         0
#> 7     24.00      0  37        1         0
#> 53    24.00      0  32        0         1
#> 95.2  24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.646         NA        NA      NA
#> 2 age, Cure model           0.0117        NA        NA      NA
#> 3 grade_ii, Cure model      0.434         NA        NA      NA
#> 4 grade_iii, Cure model     0.396         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00282        NA        NA      NA
#> 2 grade_ii, Survival model   0.691          NA        NA      NA
#> 3 grade_iii, Survival model  0.490          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.64647           0.01174           0.43377           0.39551  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 256.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.64646811       0.01174006       0.43376859       0.39550725 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.002822241      0.690773262      0.489722692 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.58165929 0.83729186 0.67637128 0.36739243 0.38016836 0.56480530
#>   [7] 0.97824770 0.77077791 0.83729186 0.91008042 0.83729186 0.34214581
#>  [13] 0.73542533 0.76377407 0.03037077 0.78462238 0.77772789 0.53057385
#>  [19] 0.49469250 0.61444285 0.62251234 0.45654587 0.92765581 0.98918328
#>  [25] 0.98918328 0.96715999 0.07457356 0.80480844 0.89219776 0.69141817
#>  [31] 0.59820641 0.69883610 0.62251234 0.91008042 0.62251234 0.47635788
#>  [37] 0.89219776 0.83084072 0.81796507 0.25653938 0.41441510 0.96715999
#>  [43] 0.92765581 0.72817116 0.69883610 0.47635788 0.91008042 0.28808410
#>  [49] 0.66112085 0.78462238 0.88021153 0.23983245 0.50391453 0.80480844
#>  [55] 0.71353595 0.27235759 0.97824770 0.43586635 0.66880218 0.38016836
#>  [61] 0.79806362 0.94493984 0.94493984 0.59000700 0.50391453 0.94493984
#>  [67] 0.68393132 0.86179686 0.72085788 0.52164817 0.55629030 0.59820641
#>  [73] 0.07457356 0.88021153 0.22220400 0.38016836 0.65342271 0.44636537
#>  [79] 0.31528223 0.81796507 0.46654432 0.94493984 0.41441510 0.28808410
#>  [85] 0.07457356 0.53057385 0.89219776 0.56480530 0.18458124 0.14524325
#>  [91] 0.64564203 0.18458124 0.74965679 0.14524325 0.74258508 0.54775887
#>  [97] 0.86798134 0.31528223 0.75671905 0.34214581 0.87412475 0.92765581
#> [103] 0.83729186 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    40    37    85    66   136     8   187    57  37.1    52  37.2   194   167 
#> 18.00 12.52 16.44 22.13 21.83 18.43  9.92 14.46 12.52 10.42 12.52 22.40 15.55 
#>    96    24    60    13    76   105   110   111    99    93    16  16.1   101 
#> 14.54 23.89 13.15 14.34 19.22 19.75 17.56 17.45 21.19 10.33  8.71  8.71  9.97 
#>    78   123    10   188   184   100 111.1  52.1 111.2   158  10.1   177   140 
#> 23.88 13.00 10.53 16.16 17.77 16.07 17.45 10.42 17.45 20.14 10.53 12.53 12.68 
#>    92   197 101.1  93.1    39 100.1 158.1  52.2    63    23  60.1   159    69 
#> 22.92 21.60  9.97 10.33 15.59 16.07 20.14 10.42 22.77 16.92 13.15 10.55 23.23 
#>   170 123.1    26   113 187.1   139   106 136.1   155   145 145.1   134 170.1 
#> 19.54 13.00 15.77 22.86  9.92 21.49 16.67 21.83 13.08 10.07 10.07 17.81 19.54 
#> 145.2     5    56     6    58   179 184.1  78.1 159.1   129 136.2    45   153 
#> 10.07 16.43 12.21 15.64 19.34 18.63 17.77 23.88 10.55 23.41 21.83 17.42 21.33 
#>    15 140.1    90 145.3 197.1  63.1  78.2  76.1  10.2   8.1   168    86    30 
#> 22.68 12.68 20.94 10.07 21.60 22.77 23.88 19.22 10.53 18.43 23.72 23.81 17.43 
#> 168.1   157  86.1    18    97    43  15.1   180 194.1   107  93.2  37.3   182 
#> 23.72 15.10 23.81 15.21 19.14 12.10 22.68 14.82 22.40 11.18 10.33 12.52 24.00 
#>    87    83   193   176   172   118    17    64    22   173   116   138    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163    67    72   120  17.1  64.1  17.2    84    74    35    28   191    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   132    62   148 172.1  35.1 132.1    21     2   122   131   165    48   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  84.1    47   112    19   121  87.1  20.1  35.2    38 165.1 193.1 165.2 120.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11  83.1   178 116.1   200   186 172.2  67.1  95.1  22.1  11.1 148.1   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  35.3   144    65    27    80 182.1  19.1   152   198 186.1 198.1 118.1 165.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 137.1 191.1   151   161     7    53  95.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[100]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.009279244               0.213381555               0.493055301 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.21415549              0.02171483              0.23061292 
#>   grade_iii, Cure model 
#>              1.13045238 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55c023d25ae8>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 23    16.92      1  61        0         0
#> 18    15.21      1  49        1         0
#> 61    10.12      1  36        0         1
#> 50    10.02      1  NA        1         0
#> 6     15.64      1  39        0         0
#> 177   12.53      1  75        0         0
#> 130   16.47      1  53        0         1
#> 78    23.88      1  43        0         0
#> 111   17.45      1  47        0         1
#> 108   18.29      1  39        0         1
#> 14    12.89      1  21        0         0
#> 24    23.89      1  38        0         0
#> 77     7.27      1  67        0         1
#> 134   17.81      1  47        1         0
#> 129   23.41      1  53        1         0
#> 26    15.77      1  49        0         1
#> 86    23.81      1  58        0         1
#> 93    10.33      1  52        0         1
#> 89    11.44      1  NA        0         0
#> 57    14.46      1  45        0         1
#> 91     5.33      1  61        0         1
#> 51    18.23      1  83        0         1
#> 40    18.00      1  28        1         0
#> 129.1 23.41      1  53        1         0
#> 18.1  15.21      1  49        1         0
#> 26.1  15.77      1  49        0         1
#> 76    19.22      1  54        0         1
#> 25     6.32      1  34        1         0
#> 158   20.14      1  74        1         0
#> 16     8.71      1  71        0         1
#> 51.1  18.23      1  83        0         1
#> 153   21.33      1  55        1         0
#> 127    3.53      1  62        0         1
#> 16.1   8.71      1  71        0         1
#> 85    16.44      1  36        0         0
#> 168   23.72      1  70        0         0
#> 139   21.49      1  63        1         0
#> 129.2 23.41      1  53        1         0
#> 139.1 21.49      1  63        1         0
#> 78.1  23.88      1  43        0         0
#> 39    15.59      1  37        0         1
#> 107   11.18      1  54        1         0
#> 79    16.23      1  54        1         0
#> 88    18.37      1  47        0         0
#> 140   12.68      1  59        1         0
#> 140.1 12.68      1  59        1         0
#> 49    12.19      1  48        1         0
#> 66    22.13      1  53        0         0
#> 60    13.15      1  38        1         0
#> 183    9.24      1  67        1         0
#> 110   17.56      1  65        0         1
#> 39.1  15.59      1  37        0         1
#> 105   19.75      1  60        0         0
#> 58    19.34      1  39        0         0
#> 108.1 18.29      1  39        0         1
#> 29    15.45      1  68        1         0
#> 180   14.82      1  37        0         0
#> 30    17.43      1  78        0         0
#> 166   19.98      1  48        0         0
#> 184   17.77      1  38        0         0
#> 106   16.67      1  49        1         0
#> 181   16.46      1  45        0         1
#> 188   16.16      1  46        0         1
#> 197   21.60      1  69        1         0
#> 69    23.23      1  25        0         1
#> 96    14.54      1  33        0         1
#> 4     17.64      1  NA        0         1
#> 6.1   15.64      1  39        0         0
#> 89.1  11.44      1  NA        0         0
#> 43    12.10      1  61        0         1
#> 100   16.07      1  60        0         0
#> 13    14.34      1  54        0         1
#> 51.2  18.23      1  83        0         1
#> 14.1  12.89      1  21        0         0
#> 39.2  15.59      1  37        0         1
#> 136   21.83      1  43        0         1
#> 43.1  12.10      1  61        0         1
#> 100.1 16.07      1  60        0         0
#> 130.1 16.47      1  53        0         1
#> 128   20.35      1  35        0         1
#> 97    19.14      1  65        0         1
#> 175   21.91      1  43        0         0
#> 183.1  9.24      1  67        1         0
#> 100.2 16.07      1  60        0         0
#> 179   18.63      1  42        0         0
#> 111.1 17.45      1  47        0         1
#> 10    10.53      1  34        0         0
#> 111.2 17.45      1  47        0         1
#> 145   10.07      1  65        1         0
#> 190   20.81      1  42        1         0
#> 93.1  10.33      1  52        0         1
#> 133   14.65      1  57        0         0
#> 77.1   7.27      1  67        0         1
#> 117   17.46      1  26        0         1
#> 96.1  14.54      1  33        0         1
#> 117.1 17.46      1  26        0         1
#> 58.1  19.34      1  39        0         0
#> 10.1  10.53      1  34        0         0
#> 127.1  3.53      1  62        0         1
#> 187    9.92      1  39        1         0
#> 58.2  19.34      1  39        0         0
#> 133.1 14.65      1  57        0         0
#> 88.1  18.37      1  47        0         0
#> 69.1  23.23      1  25        0         1
#> 192   16.44      1  31        1         0
#> 145.1 10.07      1  65        1         0
#> 26.2  15.77      1  49        0         1
#> 69.2  23.23      1  25        0         1
#> 188.1 16.16      1  46        0         1
#> 190.1 20.81      1  42        1         0
#> 56    12.21      1  60        0         0
#> 127.2  3.53      1  62        0         1
#> 95    24.00      0  68        0         1
#> 12    24.00      0  63        0         0
#> 7     24.00      0  37        1         0
#> 122   24.00      0  66        0         0
#> 132   24.00      0  55        0         0
#> 22    24.00      0  52        1         0
#> 115   24.00      0  NA        1         0
#> 64    24.00      0  43        0         0
#> 144   24.00      0  28        0         1
#> 148   24.00      0  61        1         0
#> 156   24.00      0  50        1         0
#> 178   24.00      0  52        1         0
#> 176   24.00      0  43        0         1
#> 33    24.00      0  53        0         0
#> 75    24.00      0  21        1         0
#> 131   24.00      0  66        0         0
#> 119   24.00      0  17        0         0
#> 115.1 24.00      0  NA        1         0
#> 141   24.00      0  44        1         0
#> 7.1   24.00      0  37        1         0
#> 196   24.00      0  19        0         0
#> 19    24.00      0  57        0         1
#> 116   24.00      0  58        0         1
#> 137   24.00      0  45        1         0
#> 72    24.00      0  40        0         1
#> 162   24.00      0  51        0         0
#> 12.1  24.00      0  63        0         0
#> 67    24.00      0  25        0         0
#> 121   24.00      0  57        1         0
#> 115.2 24.00      0  NA        1         0
#> 31    24.00      0  36        0         1
#> 198   24.00      0  66        0         1
#> 196.1 24.00      0  19        0         0
#> 64.1  24.00      0  43        0         0
#> 143   24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 186   24.00      0  45        1         0
#> 142   24.00      0  53        0         0
#> 47    24.00      0  38        0         1
#> 121.1 24.00      0  57        1         0
#> 44    24.00      0  56        0         0
#> 65    24.00      0  57        1         0
#> 178.1 24.00      0  52        1         0
#> 94    24.00      0  51        0         1
#> 35    24.00      0  51        0         0
#> 196.2 24.00      0  19        0         0
#> 74    24.00      0  43        0         1
#> 83    24.00      0   6        0         0
#> 138   24.00      0  44        1         0
#> 95.1  24.00      0  68        0         1
#> 109   24.00      0  48        0         0
#> 146   24.00      0  63        1         0
#> 2     24.00      0   9        0         0
#> 46    24.00      0  71        0         0
#> 98    24.00      0  34        1         0
#> 67.1  24.00      0  25        0         0
#> 146.1 24.00      0  63        1         0
#> 146.2 24.00      0  63        1         0
#> 33.1  24.00      0  53        0         0
#> 62    24.00      0  71        0         0
#> 143.1 24.00      0  51        0         0
#> 1     24.00      0  23        1         0
#> 162.1 24.00      0  51        0         0
#> 72.1  24.00      0  40        0         1
#> 109.1 24.00      0  48        0         0
#> 9     24.00      0  31        1         0
#> 44.1  24.00      0  56        0         0
#> 182   24.00      0  35        0         0
#> 137.1 24.00      0  45        1         0
#> 67.2  24.00      0  25        0         0
#> 144.1 24.00      0  28        0         1
#> 11    24.00      0  42        0         1
#> 73    24.00      0  NA        0         1
#> 87    24.00      0  27        0         0
#> 142.1 24.00      0  53        0         0
#> 144.2 24.00      0  28        0         1
#> 87.1  24.00      0  27        0         0
#> 95.2  24.00      0  68        0         1
#> 54    24.00      0  53        1         0
#> 67.3  24.00      0  25        0         0
#> 20    24.00      0  46        1         0
#> 109.2 24.00      0  48        0         0
#> 135   24.00      0  58        1         0
#> 71    24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 144.3 24.00      0  28        0         1
#> 112   24.00      0  61        0         0
#> 151   24.00      0  42        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.21          NA        NA      NA
#> 2 age, Cure model           0.0217        NA        NA      NA
#> 3 grade_ii, Cure model      0.231         NA        NA      NA
#> 4 grade_iii, Cure model     1.13          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00928        NA        NA      NA
#> 2 grade_ii, Survival model   0.213          NA        NA      NA
#> 3 grade_iii, Survival model  0.493          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.21416           0.02171           0.23061           1.13045  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    263.2 
#> Residual Deviance: 247.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.21415549       0.02171483       0.23061292       1.13045238 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.009279244      0.213381555      0.493055301 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.67721730 0.80959019 0.93249685 0.77599305 0.88338344 0.69064422
#>   [7] 0.11805692 0.65002065 0.56512228 0.86290577 0.05845847 0.96954455
#>  [13] 0.61303676 0.23834158 0.75878509 0.18592706 0.92294537 0.84725575
#>  [19] 0.98282919 0.58230559 0.60532438 0.23834158 0.80959019 0.75878509
#>  [25] 0.51911452 0.97840359 0.45882547 0.96051650 0.58230559 0.41409662
#>  [31] 0.98721756 0.96051650 0.70991197 0.21359643 0.39026762 0.23834158
#>  [37] 0.39026762 0.11805692 0.78743383 0.90833650 0.72250502 0.54720282
#>  [43] 0.87321304 0.87321304 0.89350295 0.33408235 0.85772329 0.95130100
#>  [49] 0.62824666 0.78743383 0.47969861 0.48990568 0.56512228 0.80406030
#>  [55] 0.82047140 0.67042099 0.46932714 0.62066140 0.68396207 0.70352771
#>  [61] 0.72877201 0.37717428 0.29036350 0.83666881 0.77599305 0.89852550
#>  [67] 0.74093772 0.85251687 0.58230559 0.86290577 0.78743383 0.36343819
#>  [73] 0.89852550 0.74093772 0.69064422 0.44796083 0.52872651 0.34891157
#>  [79] 0.95130100 0.74093772 0.53800246 0.65002065 0.91322770 0.65002065
#>  [85] 0.93725345 0.42582399 0.92294537 0.82591532 0.96954455 0.63565370
#>  [91] 0.83666881 0.63565370 0.48990568 0.91322770 0.98721756 0.94662275
#>  [97] 0.48990568 0.82591532 0.54720282 0.29036350 0.70991197 0.93725345
#> [103] 0.75878509 0.29036350 0.72877201 0.42582399 0.88845393 0.98721756
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    23    18    61     6   177   130    78   111   108    14    24    77   134 
#> 16.92 15.21 10.12 15.64 12.53 16.47 23.88 17.45 18.29 12.89 23.89  7.27 17.81 
#>   129    26    86    93    57    91    51    40 129.1  18.1  26.1    76    25 
#> 23.41 15.77 23.81 10.33 14.46  5.33 18.23 18.00 23.41 15.21 15.77 19.22  6.32 
#>   158    16  51.1   153   127  16.1    85   168   139 129.2 139.1  78.1    39 
#> 20.14  8.71 18.23 21.33  3.53  8.71 16.44 23.72 21.49 23.41 21.49 23.88 15.59 
#>   107    79    88   140 140.1    49    66    60   183   110  39.1   105    58 
#> 11.18 16.23 18.37 12.68 12.68 12.19 22.13 13.15  9.24 17.56 15.59 19.75 19.34 
#> 108.1    29   180    30   166   184   106   181   188   197    69    96   6.1 
#> 18.29 15.45 14.82 17.43 19.98 17.77 16.67 16.46 16.16 21.60 23.23 14.54 15.64 
#>    43   100    13  51.2  14.1  39.2   136  43.1 100.1 130.1   128    97   175 
#> 12.10 16.07 14.34 18.23 12.89 15.59 21.83 12.10 16.07 16.47 20.35 19.14 21.91 
#> 183.1 100.2   179 111.1    10 111.2   145   190  93.1   133  77.1   117  96.1 
#>  9.24 16.07 18.63 17.45 10.53 17.45 10.07 20.81 10.33 14.65  7.27 17.46 14.54 
#> 117.1  58.1  10.1 127.1   187  58.2 133.1  88.1  69.1   192 145.1  26.2  69.2 
#> 17.46 19.34 10.53  3.53  9.92 19.34 14.65 18.37 23.23 16.44 10.07 15.77 23.23 
#> 188.1 190.1    56 127.2    95    12     7   122   132    22    64   144   148 
#> 16.16 20.81 12.21  3.53 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156   178   176    33    75   131   119   141   7.1   196    19   116   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72   162  12.1    67   121    31   198 196.1  64.1   143    21   186   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47 121.1    44    65 178.1    94    35 196.2    74    83   138  95.1   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146     2    46    98  67.1 146.1 146.2  33.1    62 143.1     1 162.1  72.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 109.1     9  44.1   182 137.1  67.2 144.1    11    87 142.1 144.2  87.1  95.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54  67.3    20 109.2   135    71   185 144.3   112   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> Formula blueprint: 
#>  
#> # Predictors: 2 
#>   # Outcomes: 2 
#>    Intercept: TRUE 
#> Novel Levels: FALSE 
#>  Composition: tibble 
#>   Indicators: traditional 
#> 
#> $cure_blueprint
#> Formula blueprint: 
#>  
#> # Predictors: 2 
#>   # Outcomes: 0 
#>    Intercept: TRUE 
#> Novel Levels: FALSE 
#>  Composition: tibble 
#>   Indicators: traditional 
#>